[Core] Add explicit layer parallel plans

Co-authored-by: OpenAI Codex <codex@openai.com>
Signed-off-by: Lucas Wilkinson <lwilkins@redhat.com>

.buildkite/ci_config_intel.yaml

@@ -2,17 +2,17 @@ name: vllm_intel_ci
 job_dirs:
   - ".buildkite/intel_jobs"
 run_all_patterns:
+  - ".buildkite/ci_config_intel.yaml"
+  - ".buildkite/scripts/hardware_ci/run-intel-test.sh"
   - "docker/Dockerfile"
+  - "docker/Dockerfile.xpu"
   - "CMakeLists.txt"
   - "requirements/common.txt"
   - "requirements/xpu.txt"
-  - "requirements/build/cuda.txt"
-  - "requirements/test/cuda.txt"
   - "setup.py"
   - "csrc/"
   - "cmake/"
 run_all_exclude_patterns:
-  - "docker/Dockerfile."
   - "csrc/cpu/"
   - "csrc/rocm/"
   - "cmake/hipify.py"

.buildkite/ci_config_rocm.yaml

@@ -8,6 +8,7 @@ run_all_patterns:
   - "docker/docker-bake-rocm.hcl"
   - ".buildkite/hardware_tests/amd.yaml"
   - ".buildkite/scripts/ci-bake-rocm.sh"
+  - ".buildkite/scripts/rocm/"
   - ".buildkite/scripts/hardware_ci/run-amd-test.py"
   - ".buildkite/scripts/hardware_ci/run-amd-test.sh"
   - "CMakeLists.txt"

.buildkite/hardware_tests/amd.yaml

@@ -1,18 +1,45 @@
 group: Hardware - AMD Build
+
+# ROCm image flow:
+# 1. Refresh the long-lived ROCm base image only when Dockerfile.rocm_base changes.
+# 2. Build ci_base from either the stable base or the freshly refreshed base.
+# 3. Build the per-commit ROCm CI image and smoke-test it before GPU jobs run.
 steps:
+  - label: "AMD: :docker: refresh ROCm base"
+    key: refresh-rocm-base-amd
+    depends_on: []
+    device: amd_cpu
+    no_plugin: true
+    commands:
+      - bash .buildkite/scripts/rocm/refresh-base-image.sh
+    env:
+      DOCKER_BUILDKIT: "1"
+      BUILDKIT_PROGRESS: "tty"
+      TERM: "xterm-256color"
+    retry:
+      automatic:
+        - exit_status: -1  # Agent was lost
+          limit: 1
+        - exit_status: -10  # Agent was lost
+          limit: 1
+
   # Ensure ci_base is up-to-date before building the test image.
   # Compares a content hash of ci_base-affecting files against the remote
   # image label. If hashes match the build is skipped (< 30 s); if they
   # differ ci_base is rebuilt and pushed automatically.
   - label: "AMD: :docker: ensure ci_base"
     key: ensure-ci-base-amd
-    depends_on: []
+    soft_fail: false
+    depends_on:
+      - refresh-rocm-base-amd
     device: amd_cpu
     no_plugin: true
     commands:
-      - bash .buildkite/scripts/ci-bake-rocm.sh ci-base-rocm-ci-with-deps
+      - bash .buildkite/scripts/rocm/build-ci-base.sh
     env:
       DOCKER_BUILDKIT: "1"
+      BUILDKIT_PROGRESS: "tty"
+      TERM: "xterm-256color"
       VLLM_BAKE_FILE: "docker/docker-bake-rocm.hcl"
       PYTORCH_ROCM_ARCH: "gfx90a;gfx942;gfx950"
       REMOTE_VLLM: "1"
@@ -26,40 +53,18 @@ steps:
 
   - label: "AMD: :docker: build test image and artifacts"
     key: image-build-amd
+    soft_fail: false
     depends_on:
       - ensure-ci-base-amd
     device: amd_cpu
     no_plugin: true
     commands:
-      - |
-        if [[ "${ROCM_CI_ARTIFACT_ONLY:-0}" == "1" ]]; then
-          echo "ROCM_CI_ARTIFACT_ONLY=1; building ROCm wheel artifact only"
-          IMAGE_TAG="" bash .buildkite/scripts/ci-bake-rocm.sh test-rocm-ci-with-artifacts
-        else
-          bash .buildkite/scripts/ci-bake-rocm.sh test-rocm-ci-with-wheel
-        fi
-      - |
-        docker run --rm --network=none --entrypoint /bin/bash "rocm/vllm-ci:${BUILDKITE_COMMIT}" -ec '
-          if [ ! -d /vllm-workspace ]; then echo Missing directory: /vllm-workspace >&2; exit 1; fi
-          if [ ! -d /vllm-workspace/tests ]; then echo Missing directory: /vllm-workspace/tests >&2; exit 1; fi
-          if [ ! -d /vllm-workspace/src/vllm ]; then echo Missing directory: /vllm-workspace/src/vllm >&2; exit 1; fi
-          if [ ! -x /vllm-workspace/src/vllm/vllm-rs ]; then echo Missing executable: /vllm-workspace/src/vllm/vllm-rs >&2; exit 1; fi
-          command -v python3
-          command -v uv
-          command -v pytest
-          if ! command -v amd-smi >/dev/null 2>&1 && ! command -v rocminfo >/dev/null 2>&1; then
-            echo No ROCm CLI found in image >&2
-            exit 1
-          fi
-          python3 - <<PY
-        import torch, vllm
-        print(torch.__version__)
-        print(vllm.__version__)
-        PY
-          echo AMD image smoke OK
-        '
+      - bash .buildkite/scripts/rocm/build-test-image.sh
+      - bash .buildkite/scripts/rocm/smoke-test-image.sh
     env:
       DOCKER_BUILDKIT: "1"
+      BUILDKIT_PROGRESS: "tty"
+      TERM: "xterm-256color"
       VLLM_BAKE_FILE: "docker/docker-bake-rocm.hcl"
       PYTORCH_ROCM_ARCH: "gfx90a;gfx942;gfx950"
       IMAGE_TAG: "rocm/vllm-ci:$BUILDKITE_COMMIT"

.buildkite/hardware_tests/cpu.yaml

@@ -17,12 +17,14 @@ steps:
   - tests/kernels/test_awq_int4_to_int8.py
   - tests/kernels/quantization/test_cpu_fp8_scaled_mm.py
   - tests/kernels/mamba/cpu/test_cpu_gdn_ops.py
+  - tests/kernels/mamba/test_cpu_short_conv.py
   commands:
     - |
       bash .buildkite/scripts/hardware_ci/run-cpu-test.sh 30m "
       pytest -x -v -s tests/kernels/attention/test_cpu_attn.py
       pytest -x -v -s tests/kernels/moe/test_cpu_fused_moe.py
       pytest -x -v -s tests/kernels/moe/test_cpu_quant_fused_moe.py
+      pytest -x -v -s tests/kernels/mamba/test_cpu_short_conv.py
       pytest -x -v -s tests/kernels/test_onednn.py
       pytest -x -v -s tests/kernels/test_awq_int4_to_int8.py
       pytest -x -v -s tests/kernels/quantization/test_cpu_fp8_scaled_mm.py
@@ -53,7 +55,7 @@ steps:
   - tests/models/language/pooling/
   commands:
     - |
-      bash .buildkite/scripts/hardware_ci/run-cpu-test.sh 40m "
+      bash .buildkite/scripts/hardware_ci/run-cpu-test.sh 50m "
       pytest -x -v -s tests/models/language/generation -m cpu_model
       pytest -x -v -s tests/models/language/pooling -m cpu_model"
 
@@ -68,13 +70,15 @@ steps:
   - vllm/v1/sample/ops/topk_topp_triton.py
   - vllm/v1/sample/ops/topk_topp_sampler.py
   - tests/v1/sample/test_topk_topp_sampler.py
+  - tests/v1/e2e/test_cpu_linear_attn_chunked_prefix.py
   commands:
     - |
       bash .buildkite/scripts/hardware_ci/run-cpu-test.sh 45m "
       uv pip install git+https://github.com/triton-lang/triton-cpu.git@270e696d
       VLLM_USE_V2_MODEL_RUNNER=1 pytest -x -v -s tests/models/language/generation/test_granite.py -m cpu_model
       # TODO: move to CPU-Kernel Tests once triton-cpu has a pre-built wheel
-      pytest -x -v -s tests/v1/sample/test_topk_topp_sampler.py::TestTritonTopkTopp"
+      pytest -x -v -s tests/v1/sample/test_topk_topp_sampler.py::TestTritonTopkTopp
+      pytest -x -v -s tests/v1/e2e/test_cpu_linear_attn_chunked_prefix.py"
 
 - label: CPU-Quantization Model Tests
   depends_on: []
@@ -89,11 +93,13 @@ steps:
   - vllm/model_executor/layers/fused_moe/experts/cpu_moe.py
   - tests/quantization/test_compressed_tensors.py
   - tests/quantization/test_cpu_wna16.py
+  - tests/quantization/test_cpu_w8a8.py
   commands:
     - |
-      bash .buildkite/scripts/hardware_ci/run-cpu-test.sh 30m "
+      bash .buildkite/scripts/hardware_ci/run-cpu-test.sh 45m "
       pytest -x -v -s tests/quantization/test_compressed_tensors.py::test_compressed_tensors_w8a8_logprobs
-      pytest -x -v -s tests/quantization/test_cpu_wna16.py"
+      pytest -x -v -s tests/quantization/test_cpu_wna16.py
+      pytest -x -v -s tests/quantization/test_cpu_w8a8.py"
       
 - label: CPU-Distributed Tests (PP+TP)
   depends_on: []
@@ -135,8 +141,21 @@ steps:
   commands:
     - |
       bash .buildkite/scripts/hardware_ci/run-cpu-test.sh 45m "
-      pytest -x -v -s tests/models/multimodal/generation --ignore=tests/models/multimodal/generation/test_pixtral.py -m cpu_model --num-shards=$$BUILDKITE_PARALLEL_JOB_COUNT --shard-id=$$BUILDKITE_PARALLEL_JOB"
-  parallelism: 3
+      pytest -x -v -s tests/models/multimodal/generation --ignore=tests/models/multimodal/generation/test_pixtral.py --ignore=tests/models/multimodal/generation/test_qwen2_5_vl.py -m cpu_model --num-shards=$$BUILDKITE_PARALLEL_JOB_COUNT --shard-id=$$BUILDKITE_PARALLEL_JOB"
+  parallelism: 4
+
+- label: CPU-Qwen2.5-VL Multimodal Tests
+  depends_on: []
+  device: intel_cpu
+  no_plugin: true
+  source_file_dependencies:
+  # - vllm/
+  - vllm/model_executor/layers/rotary_embedding
+  - tests/models/multimodal/generation/
+  commands:
+    - |
+      bash .buildkite/scripts/hardware_ci/run-cpu-test.sh 40m "
+      VLLM_CI_ENV=0 pytest -x -v -s tests/models/multimodal/generation/test_qwen2_5_vl.py"
 
 - label: "Arm CPU Test"
   depends_on: []

.buildkite/hardware_tests/intel_xpu_ci/test-intel.yaml

@@ -0,0 +1,80 @@
+group: Intel
+steps:
+  - label: ":docker: Build XPU image"
+    soft_fail: true
+    optional: true
+    depends_on: []
+    key: image-build-xpu
+    commands:
+      - bash -lc '.buildkite/image_build/image_build_xpu.sh "public.ecr.aws/q9t5s3a7" "vllm-ci-test-repo" "$BUILDKITE_COMMIT"'
+    env:
+      DOCKER_BUILDKIT: "1"
+    retry:
+      automatic:
+        - exit_status: -1  # Agent was lost
+          limit: 2
+        - exit_status: -10  # Agent was lost
+          limit: 2
+  - label: "XPU example Test"
+    depends_on:
+      - image-build-xpu
+    timeout_in_minutes: 30
+    optional: true
+    device: intel_gpu
+    agent_tags:
+      label: production
+      gpu: 2+
+      mem: 24+
+    no_plugin: true
+    env:
+      REGISTRY: "public.ecr.aws/q9t5s3a7"
+      REPO: "vllm-ci-test-repo"
+    source_file_dependencies:
+      - .buildkite/hardware_tests/intel_xpu_ci/test-intel.yaml
+      - .buildkite/scripts/hardware_ci/run-intel-ci-test.sh
+    commands:
+      - >-
+        bash .buildkite/scripts/hardware_ci/run-intel-test.sh
+        'bash .buildkite/scripts/hardware_ci/run-intel-ci-test.sh example'
+  - label: "XPU V1 test"
+    depends_on:
+      - image-build-xpu
+    timeout_in_minutes: 30
+    optional: true
+    device: intel_gpu
+    agent_tags:
+      label: production
+      gpu: 1+
+      mem: 24+
+    no_plugin: true
+    env:
+      REGISTRY: "public.ecr.aws/q9t5s3a7"
+      REPO: "vllm-ci-test-repo"
+    source_file_dependencies:
+      - .buildkite/hardware_tests/intel_xpu_ci/test-intel.yaml
+      - .buildkite/scripts/hardware_ci/run-intel-ci-test.sh
+    commands:
+      - >-
+        bash .buildkite/scripts/hardware_ci/run-intel-test.sh
+        'bash .buildkite/scripts/hardware_ci/run-intel-ci-test.sh v1'
+  - label: "XPU server test"
+    depends_on:
+      - image-build-xpu
+    timeout_in_minutes: 30
+    optional: true
+    device: intel_gpu
+    agent_tags:
+      label: production
+      gpu: 1+
+      mem: 16+
+    no_plugin: true
+    env:
+      REGISTRY: "public.ecr.aws/q9t5s3a7"
+      REPO: "vllm-ci-test-repo"
+    source_file_dependencies:
+      - .buildkite/hardware_tests/intel_xpu_ci/test-intel.yaml
+      - .buildkite/scripts/hardware_ci/run-intel-ci-test.sh
+    commands:
+      - >-
+        bash .buildkite/scripts/hardware_ci/run-intel-test.sh
+        'bash .buildkite/scripts/hardware_ci/run-intel-ci-test.sh server'

.buildkite/image_build/image_build.sh

@@ -79,12 +79,18 @@ setup_buildx_builder() {
     docker buildx ls | grep -E '^\*|^NAME' || docker buildx ls
 }
 
+annotate_image_tags() {
+    .buildkite/scripts/annotate-image-build.sh \
+        "${IMAGE_TAG:-}" "${IMAGE_TAG_LATEST:-}"
+}
+
 check_and_skip_if_image_exists() {
     if [[ -n "${IMAGE_TAG:-}" ]]; then
         echo "--- :mag: Checking if image exists"
         if docker manifest inspect "${IMAGE_TAG}" >/dev/null 2>&1; then
             echo "Image already exists: ${IMAGE_TAG}"
             echo "Skipping build"
+            annotate_image_tags
             exit 0
         fi
         echo "Image not found, proceeding with build"
@@ -171,6 +177,18 @@ BRANCH=$4
 IMAGE_TAG=$5
 IMAGE_TAG_LATEST=${6:-} # only used for main branch, optional
 
+# When TORCH_NIGHTLY=1, build the base CI image against PyTorch nightly so the
+# entire existing pipeline runs on nightly torch (CUDA/GPU lane only). Delegate
+# to the dedicated nightly build (PYTORCH_NIGHTLY=1, CUDA 13.0) and tag it at the
+# normal IMAGE_TAG that every test step already pulls -- no separate image tag,
+# no duplicate "vLLM Against PyTorch Nightly" pipeline section.
+if [[ "${TORCH_NIGHTLY:-0}" == "1" ]]; then
+    echo "--- :warning: TORCH_NIGHTLY=1 -- building base image on PyTorch nightly"
+    SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
+    exec "${SCRIPT_DIR}/image_build_torch_nightly.sh" \
+        "${REGISTRY}" "${REPO}" "${BUILDKITE_COMMIT}" "${BRANCH}" "${IMAGE_TAG}"
+fi
+
 # build config
 TARGET="test-ci"
 VLLM_BAKE_FILE_PATH="${VLLM_BAKE_FILE_PATH:-docker/docker-bake.hcl}"
@@ -254,3 +272,5 @@ echo "--- :docker: Building ${TARGET}"
 docker --debug buildx bake -f "${VLLM_BAKE_FILE_PATH}" -f "${CI_HCL_PATH}" --progress plain "${TARGET}"
 
 echo "--- :white_check_mark: Build complete"
+
+annotate_image_tags

.buildkite/image_build/image_build_arm64.sh

@@ -9,29 +9,31 @@ fi
 REGISTRY=$1
 REPO=$2
 BUILDKITE_COMMIT=$3
+IMAGE="$REGISTRY/$REPO:$BUILDKITE_COMMIT-arm64"
 
 # authenticate with AWS ECR
 aws ecr-public get-login-password --region us-east-1 | docker login --username AWS --password-stdin "$REGISTRY" || true
 
 # skip build if image already exists
-if [[ -z $(docker manifest inspect "$REGISTRY"/"$REPO":"$BUILDKITE_COMMIT"-arm64) ]]; then
-  echo "Image not found, proceeding with build..."
-else
+if docker manifest inspect "$IMAGE" >/dev/null 2>&1; then
   echo "Image found"
-  exit 0
+else
+  echo "Image not found, proceeding with build..."
+  # build for arm64 GPU targets: Grace/GH200 (sm_90),
+  # Blackwell/Thor (sm_100/sm_103/sm_110), and DGX Spark/GB10
+  # (sm_121, family-covered by 12.0 under CUDA 13)
+  docker build --file docker/Dockerfile \
+    --platform linux/arm64 \
+    --build-arg max_jobs=16 \
+    --build-arg nvcc_threads=4 \
+    --build-arg torch_cuda_arch_list="9.0 10.0 11.0 12.0" \
+    --build-arg USE_SCCACHE=1 \
+    --build-arg buildkite_commit="$BUILDKITE_COMMIT" \
+    --tag "$IMAGE" \
+    --target test \
+    --progress plain .
+  # push
+  docker push "$IMAGE"
 fi
 
-# build (Grace/GH200 is the arm64 GPU target; sm_90)
-docker build --file docker/Dockerfile \
-  --platform linux/arm64 \
-  --build-arg max_jobs=16 \
-  --build-arg nvcc_threads=4 \
-  --build-arg torch_cuda_arch_list="9.0" \
-  --build-arg USE_SCCACHE=1 \
-  --build-arg buildkite_commit="$BUILDKITE_COMMIT" \
-  --tag "$REGISTRY"/"$REPO":"$BUILDKITE_COMMIT"-arm64 \
-  --target test \
-  --progress plain .
-
-# push
-docker push "$REGISTRY"/"$REPO":"$BUILDKITE_COMMIT"-arm64
+.buildkite/scripts/annotate-image-build.sh "$IMAGE"

.buildkite/image_build/image_build_cpu.sh

@@ -9,26 +9,26 @@ fi
 REGISTRY=$1
 REPO=$2
 BUILDKITE_COMMIT=$3
+IMAGE="$REGISTRY/$REPO:$BUILDKITE_COMMIT-cpu"
 
 # authenticate with AWS ECR
 aws ecr-public get-login-password --region us-east-1 | docker login --username AWS --password-stdin "$REGISTRY" || true
 
 # skip build if image already exists
-if [[ -z $(docker manifest inspect "$REGISTRY"/"$REPO":"$BUILDKITE_COMMIT"-cpu) ]]; then
-  echo "Image not found, proceeding with build..."
-else
+if docker manifest inspect "$IMAGE" >/dev/null 2>&1; then
   echo "Image found"
-  exit 0
+else
+  echo "Image not found, proceeding with build..."
+  # build
+  docker build --file docker/Dockerfile.cpu \
+    --build-arg max_jobs=16 \
+    --build-arg buildkite_commit="$BUILDKITE_COMMIT" \
+    --build-arg VLLM_CPU_X86=true \
+    --tag "$IMAGE" \
+    --target vllm-test \
+    --progress plain .
+  # push
+  docker push "$IMAGE"
 fi
 
-# build
-docker build --file docker/Dockerfile.cpu \
-  --build-arg max_jobs=16 \
-  --build-arg buildkite_commit="$BUILDKITE_COMMIT" \
-  --build-arg VLLM_CPU_X86=true \
-  --tag "$REGISTRY"/"$REPO":"$BUILDKITE_COMMIT"-cpu \
-  --target vllm-test \
-  --progress plain .
-
-# push
-docker push "$REGISTRY"/"$REPO":"$BUILDKITE_COMMIT"-cpu
+.buildkite/scripts/annotate-image-build.sh "$IMAGE"

.buildkite/image_build/image_build_cpu_arm64.sh

@@ -9,25 +9,25 @@ fi
 REGISTRY=$1
 REPO=$2
 BUILDKITE_COMMIT=$3
+IMAGE="$REGISTRY/$REPO:$BUILDKITE_COMMIT-arm64-cpu"
 
 # authenticate with AWS ECR
 aws ecr-public get-login-password --region us-east-1 | docker login --username AWS --password-stdin "$REGISTRY" || true
 
 # skip build if image already exists
-if [[ -z $(docker manifest inspect "$REGISTRY"/"$REPO":"$BUILDKITE_COMMIT"-arm64-cpu) ]]; then
-  echo "Image not found, proceeding with build..."
-else
+if docker manifest inspect "$IMAGE" >/dev/null 2>&1; then
   echo "Image found"
-  exit 0
+else
+  echo "Image not found, proceeding with build..."
+  # build
+  docker build --file docker/Dockerfile.cpu \
+    --build-arg max_jobs=16 \
+    --build-arg buildkite_commit="$BUILDKITE_COMMIT" \
+    --tag "$IMAGE" \
+    --target vllm-test \
+    --progress plain .
+  # push
+  docker push "$IMAGE"
 fi
 
-# build
-docker build --file docker/Dockerfile.cpu \
-  --build-arg max_jobs=16 \
-  --build-arg buildkite_commit="$BUILDKITE_COMMIT" \
-  --tag "$REGISTRY"/"$REPO":"$BUILDKITE_COMMIT"-arm64-cpu \
-  --target vllm-test \
-  --progress plain .
-
-# push
-docker push "$REGISTRY"/"$REPO":"$BUILDKITE_COMMIT"-arm64-cpu
+.buildkite/scripts/annotate-image-build.sh "$IMAGE"

.buildkite/image_build/image_build_hpu.sh

@@ -9,26 +9,26 @@ fi
 REGISTRY=$1
 REPO=$2
 BUILDKITE_COMMIT=$3
+IMAGE="$REGISTRY/$REPO:$BUILDKITE_COMMIT-hpu"
 
 # authenticate with AWS ECR
 aws ecr-public get-login-password --region us-east-1 | docker login --username AWS --password-stdin "$REGISTRY" || true
 
 # skip build if image already exists
-if [[ -z $(docker manifest inspect "$REGISTRY"/"$REPO":"$BUILDKITE_COMMIT"-hpu) ]]; then
-  echo "Image not found, proceeding with build..."
-else
+if docker manifest inspect "$IMAGE" >/dev/null 2>&1; then
   echo "Image found"
-  exit 0
+else
+  echo "Image not found, proceeding with build..."
+  # build
+  docker build \
+    --file tests/pytorch_ci_hud_benchmark/Dockerfile.hpu \
+    --build-arg max_jobs=16 \
+    --build-arg buildkite_commit="$BUILDKITE_COMMIT" \
+    --tag "$IMAGE" \
+    --progress plain \
+    https://github.com/vllm-project/vllm-gaudi.git
+  # push
+  docker push "$IMAGE"
 fi
 
-# build
-docker build \
-  --file tests/pytorch_ci_hud_benchmark/Dockerfile.hpu \
-  --build-arg max_jobs=16 \
-  --build-arg buildkite_commit="$BUILDKITE_COMMIT" \
-  --tag "$REGISTRY"/"$REPO":"$BUILDKITE_COMMIT"-hpu \
-  --progress plain \
-  https://github.com/vllm-project/vllm-gaudi.git
-
-# push
-docker push "$REGISTRY"/"$REPO":"$BUILDKITE_COMMIT"-hpu
+.buildkite/scripts/annotate-image-build.sh "$IMAGE"

.buildkite/image_build/image_build_torch_nightly.sh

@@ -40,6 +40,7 @@ docker buildx ls
 echo "--- :mag: Checking if image already exists"
 if docker manifest inspect "$IMAGE_TAG" >/dev/null 2>&1; then
   echo "Image found: $IMAGE_TAG — skipping build"
+  .buildkite/scripts/annotate-image-build.sh "$IMAGE_TAG"
   exit 0
 fi
 echo "Image not found, proceeding with build..."
@@ -66,3 +67,5 @@ docker buildx build --file docker/Dockerfile \
   --progress plain .
 
 echo "--- :white_check_mark: Torch nightly image build complete: $IMAGE_TAG"
+
+.buildkite/scripts/annotate-image-build.sh "$IMAGE_TAG"

.buildkite/image_build/image_build_xpu.sh

@@ -9,26 +9,26 @@ fi
 REGISTRY=$1
 REPO=$2
 BUILDKITE_COMMIT=$3
+IMAGE="$REGISTRY/$REPO:$BUILDKITE_COMMIT-xpu"
 
 # authenticate with AWS ECR
 aws ecr-public get-login-password --region us-east-1 | docker login --username AWS --password-stdin "$REGISTRY" || true
 aws ecr get-login-password --region us-east-1 | docker login --username AWS --password-stdin 936637512419.dkr.ecr.us-east-1.amazonaws.com || true
 
 # skip build if image already exists
-if ! docker manifest inspect "$REGISTRY"/"$REPO":"$BUILDKITE_COMMIT"-xpu &> /dev/null; then
-  echo "Image not found, proceeding with build..."
-else
+if docker manifest inspect "$IMAGE" &> /dev/null; then
   echo "Image found"
-  exit 0
+else
+  echo "Image not found, proceeding with build..."
+  # build
+  docker build \
+    --file docker/Dockerfile.xpu \
+    --build-arg max_jobs=16 \
+    --build-arg buildkite_commit="$BUILDKITE_COMMIT" \
+    --tag "$IMAGE" \
+    --progress plain .
+  # push
+  docker push "$IMAGE"
 fi
 
-# build
-docker build \
-  --file docker/Dockerfile.xpu \
-  --build-arg max_jobs=16 \
-  --build-arg buildkite_commit="$BUILDKITE_COMMIT" \
-  --tag "$REGISTRY"/"$REPO":"$BUILDKITE_COMMIT"-xpu \
-  --progress plain .
-
-# push
-docker push "$REGISTRY"/"$REPO":"$BUILDKITE_COMMIT"-xpu
+.buildkite/scripts/annotate-image-build.sh "$IMAGE"

.buildkite/intel_jobs/basic_correctness.yaml

@@ -5,6 +5,10 @@ steps:
 - label: XPU Sleep Mode
   timeout_in_minutes: 30
   device: intel_gpu
+  agent_tags:
+    label: production
+    gpu: 1+
+    mem: 16+
   no_plugin: true
   working_dir: "."
   env:
@@ -19,4 +23,5 @@ steps:
       bash .buildkite/scripts/hardware_ci/run-intel-test.sh
       'cd tests &&
       export VLLM_WORKER_MULTIPROC_METHOD=spawn &&
+      pytest -v -s basic_correctness/test_cpu_offload.py &&
       pytest -v -s basic_correctness/test_mem.py::test_end_to_end'

.buildkite/intel_jobs/engine_intel.yaml

@@ -5,6 +5,10 @@ steps:
 - label: Engine (1 GPU)
   timeout_in_minutes: 30
   device: intel_gpu
+  agent_tags:
+    label: production
+    gpu: 1+
+    mem: 16+
   no_plugin: true
   working_dir: "."
   env:

.buildkite/intel_jobs/expert_parallelism_intel.yaml

@@ -0,0 +1,27 @@
+group: Expert Parallelism
+depends_on:
+  - image-build-xpu
+steps:
+- label: EPLB Algorithm
+  key: eplb-algorithm
+  timeout_in_minutes: 45
+  device: intel_gpu
+  agent_tags:
+    label: production
+    gpu: 1+
+    mem: 16+
+  no_plugin: true
+  working_dir: "."
+  env:
+    REGISTRY: "public.ecr.aws/q9t5s3a7"
+    REPO: "vllm-ci-test-repo"
+    VLLM_TEST_DEVICE: "xpu"
+  source_file_dependencies:
+  - vllm/distributed/eplb
+  - tests/distributed/test_eplb_algo.py
+  - tests/distributed/test_eplb_utils.py
+  commands:
+    - >-
+      bash .buildkite/scripts/hardware_ci/run-intel-test.sh
+      'cd tests &&
+      pytest -v -s distributed/test_eplb_algo.py'

.buildkite/intel_jobs/kernels_intel.yaml

@@ -5,6 +5,10 @@ steps:
 - label: vLLM IR Tests
   timeout_in_minutes: 30
   device: intel_gpu
+  agent_tags:
+    label: production
+    gpu: 1+
+    mem: 16+
   no_plugin: true
   working_dir: "."
   env:

.buildkite/intel_jobs/lora_intel.yaml

@@ -5,6 +5,10 @@ steps:
 - label: LoRA Runtime + Utils
   timeout_in_minutes: 45
   device: intel_gpu
+  agent_tags:
+    label: production
+    gpu: 1+
+    mem: 24+
   no_plugin: true
   working_dir: "."
   env:
@@ -34,6 +38,10 @@ steps:
 - label: LoRA Fused/MoE Kernels
   timeout_in_minutes: 45
   device: intel_gpu
+  agent_tags:
+    label: production
+    gpu: 1+
+    mem: 16+
   no_plugin: true
   working_dir: "."
   env:
@@ -54,6 +62,10 @@ steps:
 - label: LoRA Punica Kernels
   timeout_in_minutes: 45
   device: intel_gpu
+  agent_tags:
+    label: production
+    gpu: 1+
+    mem: 16+
   no_plugin: true
   working_dir: "."
   env:
@@ -69,11 +81,17 @@ steps:
       'cd tests &&
       export VLLM_WORKER_MULTIPROC_METHOD=spawn &&
       set -o pipefail &&
-      pytest -v -s lora/test_punica_ops.py --deselect="tests/lora/test_punica_ops.py::test_kernels_hidden_size[expand-0-xpu:0-dtype0-3-43264-32-4-4]" --deselect="tests/lora/test_punica_ops.py::test_kernels[shrink-0-xpu:0-dtype1-1-2049-64-128-16]" --deselect="tests/lora/test_punica_ops.py::test_kernels[shrink-0-xpu:0-dtype0-1-2049-128-1-32]" --deselect="tests/lora/test_punica_ops.py::test_kernels[shrink-0-xpu:0-dtype0-1-2049-256-1-4]" --deselect="tests/lora/test_punica_ops.py::test_kernels[shrink-0-xpu:0-dtype0-1-2049-256-8-4]" --deselect="tests/lora/test_punica_ops.py::test_kernels[expand-0-xpu:0-dtype0-3-2049-128-8-16]" --deselect="tests/lora/test_punica_ops.py::test_kernels[shrink-0-xpu:0-dtype0-1-2049-128-8-32]" --deselect="tests/lora/test_punica_ops.py::test_kernels[expand-0-xpu:0-dtype1-1-2049-256-128-32]" --deselect="tests/lora/test_punica_ops.py::test_kernels_hidden_size[shrink-0-xpu:0-dtype0-3-64256-32-4-4]" --deselect="tests/lora/test_punica_ops.py::test_kernels_hidden_size[shrink-0-xpu:0-dtype1-2-29696-32-4-4]" --deselect="tests/lora/test_punica_ops.py::test_kernels_hidden_size[shrink-0-xpu:0-dtype1-3-49408-32-4-4]" --deselect="tests/lora/test_punica_ops.py::test_kernels_hidden_size[shrink-0-xpu:0-dtype0-2-16384-32-4-4]" --deselect="tests/lora/test_punica_ops.py::test_kernels_hidden_size[expand-0-xpu:0-dtype0-2-51328-32-4-4]"'
+      pytest -v -s lora/test_punica_ops.py::test_kernels &&
+      pytest -v -s lora/test_punica_ops.py::test_kernels_hidden_size &&
+      pytest -v -s lora/test_punica_ops.py::test_add_lora_fused_moe_early_exit'
 
 - label: LoRA Punica FP8/XPU Ops
   timeout_in_minutes: 45
   device: intel_gpu
+  agent_tags:
+    label: production
+    gpu: 1+
+    mem: 16+
   no_plugin: true
   working_dir: "."
   env:
@@ -94,6 +112,10 @@ steps:
 - label: LoRA Models
   timeout_in_minutes: 45
   device: intel_gpu
+  agent_tags:
+    label: production
+    gpu: 2+
+    mem: 24+
   no_plugin: true
   working_dir: "."
   env:
@@ -108,15 +130,19 @@ steps:
       bash .buildkite/scripts/hardware_ci/run-intel-test.sh
       'cd tests &&
       export VLLM_WORKER_MULTIPROC_METHOD=spawn &&
-      (pytest -v -s lora/test_mixtral.py --deselect="tests/lora/test_mixtral.py::test_mixtral_lora[4]" || true) &&
       pytest -v -s lora/test_quant_model.py --deselect="tests/lora/test_quant_model.py::test_quant_model_lora[model0]" --deselect="tests/lora/test_quant_model.py::test_quant_model_lora[model1]" --deselect="tests/lora/test_quant_model.py::test_quant_model_tp_equality[model0]" &&
       pytest -v -s lora/test_transformers_model.py &&
       pytest -v -s lora/test_chatglm3_tp.py &&
+      pytest -v -s lora/test_llama_tp.py::test_llama_lora &&
       pytest -s -v lora/test_minicpmv_tp.py'
 
 - label: LoRA Multimodal
   timeout_in_minutes: 45
   device: intel_gpu
+  agent_tags:
+    label: production
+    gpu: 1+
+    mem: 16+
   no_plugin: true
   working_dir: "."
   env:

.buildkite/intel_jobs/misc_intel.yaml

@@ -5,6 +5,10 @@ steps:
 - label: V1 Core + KV + Metrics
   timeout_in_minutes: 30
   device: intel_gpu
+  agent_tags:
+    label: production
+    gpu: 1+
+    mem: 16+
   no_plugin: true
   working_dir: "."
   env:
@@ -31,6 +35,10 @@ steps:
 - label: V1 Sample + Logits
   timeout_in_minutes: 30
   device: intel_gpu
+  agent_tags:
+    label: production
+    gpu: 1+
+    mem: 24+
   no_plugin: true
   working_dir: "."
   env:
@@ -38,7 +46,17 @@ steps:
     REPO: "vllm-ci-test-repo"
     VLLM_TEST_DEVICE: "xpu"
   source_file_dependencies:
-    - vllm/
+    - vllm/config/
+    - vllm/distributed/
+    - vllm/engine/
+    - vllm/inputs/
+    - vllm/logger.py
+    - vllm/model_executor/
+    - vllm/platforms/
+    - vllm/sampling_params.py
+    - vllm/transformers_utils/
+    - vllm/utils/
+    - vllm/v1/
     - tests/v1/sample
     - tests/v1/logits_processors
     - tests/v1/test_oracle.py
@@ -47,16 +65,46 @@ steps:
   commands:
     - >-
       bash .buildkite/scripts/hardware_ci/run-intel-test.sh
-      'export VLLM_WORKER_MULTIPROC_METHOD=spawn &&
+      'pip install lm_eval[api]>=0.4.12 &&
+      export VLLM_WORKER_MULTIPROC_METHOD=spawn &&
       cd tests &&
       pytest -v -s v1/logits_processors --ignore=v1/logits_processors/test_custom_online.py --ignore=v1/logits_processors/test_custom_offline.py &&
       pytest -v -s v1/test_oracle.py &&
       pytest -v -s v1/test_request.py &&
-      pytest -v -s v1/test_outputs.py'
+      pytest -v -s v1/test_outputs.py &&
+      pytest -v -s v1/sample'
+
+- label: Basic Models Tests (Initialization)
+  timeout_in_minutes: 60
+  device: intel_gpu
+  agent_tags:
+    label: production
+    gpu: 1+
+    mem: 16+
+  no_plugin: true
+  working_dir: "."
+  env:
+    REGISTRY: "public.ecr.aws/q9t5s3a7"
+    REPO: "vllm-ci-test-repo"
+    VLLM_TEST_DEVICE: "xpu"
+  source_file_dependencies:
+    - vllm/
+    - tests/models/test_initialization.py
+    - tests/models/registry.py
+  commands:
+    - >-
+      bash .buildkite/scripts/hardware_ci/run-intel-test.sh
+      'export VLLM_XPU_FUSED_MOE_USE_REF=1 &&
+      cd tests &&
+      pytest -v -s models/test_initialization.py::test_can_initialize_large_subset[Eagle3MiniMaxM2ForCausalLM]'
 
 - label: XPU CPU Offload
   timeout_in_minutes: 60
   device: intel_gpu
+  agent_tags:
+    label: production
+    gpu: 1+
+    mem: 16+
   no_plugin: true
   working_dir: "."
   env:
@@ -76,3 +124,138 @@ steps:
       cd tests &&
       pytest -v -s v1/kv_offload &&
       pytest -v -s v1/kv_connector/unit/test_offloading_connector.py'
+
+- label: NixlConnector PD accuracy (2 GPUs)
+  timeout_in_minutes: 60
+  num_devices: 2
+  device: intel_gpu
+  agent_tags:
+    label: production
+    gpu: 2+
+    mem: 16+
+  no_plugin: true
+  working_dir: "."
+  env:
+    REGISTRY: "public.ecr.aws/q9t5s3a7"
+    REPO: "vllm-ci-test-repo"
+    VLLM_TEST_DEVICE: "xpu"
+  source_file_dependencies:
+    - vllm/distributed/kv_transfer/kv_connector/v1/nixl/
+    - vllm/v1/worker/kv_connector_model_runner_mixin.py
+    - tests/v1/kv_connector/nixl_integration/
+    - vllm/platforms/xpu.py
+  commands:
+    - >-
+      bash .buildkite/scripts/hardware_ci/run-intel-test.sh
+      'cd tests &&
+      bash v1/kv_connector/nixl_integration/run_xpu_disagg_accuracy_test.sh'
+
+- label: Regression
+  key: regression
+  timeout_in_minutes: 30
+  device: intel_gpu
+  agent_tags:
+    label: production
+    gpu: 1+
+    mem: 16+
+  no_plugin: true
+  working_dir: "."
+  env:
+    REGISTRY: "public.ecr.aws/q9t5s3a7"
+    REPO: "vllm-ci-test-repo"
+    VLLM_TEST_DEVICE: "xpu"
+  source_file_dependencies:
+  - vllm/config/
+  - vllm/distributed/
+  - vllm/engine/
+  - vllm/inputs/
+  - vllm/model_executor/
+  - vllm/multimodal/
+  - vllm/platforms/
+  - vllm/sampling_params.py
+  - vllm/transformers_utils/
+  - vllm/utils/
+  - vllm/v1/
+  - tests/test_regression
+  commands:
+  - >-
+      bash .buildkite/scripts/hardware_ci/run-intel-test.sh
+      'pip install modelscope\<1.38 &&
+      cd tests &&
+      pytest -v -s test_regression.py'
+
+- label: Metrics, Tracing (2 GPUs)
+  key: metrics-tracing-2-gpus
+  timeout_in_minutes: 30
+  num_devices: 2
+  device: intel_gpu
+  agent_tags:
+    label: production
+    gpu: 2+
+    mem: 16+
+  no_plugin: true
+  working_dir: "."
+  env:
+    REGISTRY: "public.ecr.aws/q9t5s3a7"
+    REPO: "vllm-ci-test-repo"
+    VLLM_TEST_DEVICE: "xpu"
+  source_file_dependencies:
+  - vllm/config/
+  - vllm/distributed/
+  - vllm/engine/
+  - vllm/inputs/
+  - vllm/model_executor/
+  - vllm/multimodal/
+  - vllm/platforms/
+  - vllm/sampling_params.py
+  - vllm/tracing/
+  - vllm/transformers_utils/
+  - vllm/utils/
+  - vllm/v1/
+  - tests/v1/tracing
+  commands:
+  - >-
+    bash .buildkite/scripts/hardware_ci/run-intel-test.sh
+    'pip install opentelemetry-sdk\>=1.26.0 opentelemetry-api\>=1.26.0 opentelemetry-exporter-otlp\>=1.26.0 opentelemetry-semantic-conventions-ai\>=0.4.1 &&
+    cd tests &&
+    pytest -v -s v1/tracing'
+
+- label: Async Engine, Inputs, Utils, Worker
+  key: async-engine-inputs-utils-worker
+  timeout_in_minutes: 30
+  device: intel_gpu
+  agent_tags:
+    label: production
+    gpu: 1+
+    mem: 24+
+  no_plugin: true
+  working_dir: "."
+  env:
+    REGISTRY: "public.ecr.aws/q9t5s3a7"
+    REPO: "vllm-ci-test-repo"
+    VLLM_TEST_DEVICE: "xpu"
+  source_file_dependencies:
+  - vllm/assets/
+  - vllm/config/
+  - vllm/distributed/
+  - vllm/engine/
+  - vllm/inputs/
+  - vllm/model_executor/
+  - vllm/multimodal/
+  - vllm/platforms/
+  - vllm/sampling_params.py
+  - vllm/tokenizers/
+  - vllm/transformers_utils/
+  - vllm/utils/
+  - vllm/v1/
+  - tests/detokenizer
+  - tests/multimodal
+  - tests/utils_
+  commands:
+  - >-
+    bash .buildkite/scripts/hardware_ci/run-intel-test.sh
+    'cd tests &&
+    pip install av &&
+    pytest -v -s detokenizer &&
+    pytest -v -s -m "not cpu_test" ./multimodal &&
+    pytest -v -s utils_ --ignore=utils_/test_mem_utils.py'

.buildkite/intel_jobs/model_runner_v2_intel.yaml

@@ -0,0 +1,62 @@
+group: Model Runner V2 Intel
+depends_on:
+  - image-build-xpu
+steps:
+- label: Model Runner V2 Core Tests (Intel)
+  timeout_in_minutes: 45
+  device: intel_gpu
+  agent_tags:
+    label: production
+    gpu: 2+
+    mem: 16+
+  no_plugin: true
+  working_dir: "."
+  env:
+    REGISTRY: "public.ecr.aws/q9t5s3a7"
+    REPO: "vllm-ci-test-repo"
+    VLLM_TEST_DEVICE: "xpu"
+  source_file_dependencies:
+    - vllm/v1/worker/gpu/
+    - vllm/v1/worker/gpu_worker.py
+    - vllm/v1/core/sched/
+    - vllm/v1/attention/
+    - tests/v1/engine/test_llm_engine.py
+    - tests/v1/e2e/
+  commands:
+    - >-
+      bash .buildkite/scripts/hardware_ci/run-intel-test.sh
+      'export VLLM_USE_V2_MODEL_RUNNER=1 &&
+      cd tests &&
+      pytest -v -s v1/engine/test_llm_engine.py -k "not test_engine_metrics" &&
+      ENFORCE_EAGER=1 pytest -v -s v1/e2e/general/test_async_scheduling.py -k "not ngram" &&
+      pytest -v -s v1/e2e/general/test_min_tokens.py'
+
+- label: Model Runner V2 Examples (Intel)
+  timeout_in_minutes: 45
+  device: intel_gpu
+  agent_tags:
+    label: production
+    gpu: 1+
+    mem: 24+
+  no_plugin: true
+  working_dir: "."
+  env:
+    REGISTRY: "public.ecr.aws/q9t5s3a7"
+    REPO: "vllm-ci-test-repo"
+    VLLM_TEST_DEVICE: "xpu"
+  source_file_dependencies:
+    - vllm/v1/worker/gpu/
+    - vllm/v1/core/sched/
+    - vllm/v1/worker/gpu_worker.py
+    - examples/basic/offline_inference/
+    - examples/generate/multimodal/
+    - examples/features/
+  commands:
+    - >-
+      bash .buildkite/scripts/hardware_ci/run-intel-test.sh
+      'export VLLM_USE_V2_MODEL_RUNNER=1 &&
+      cd examples &&
+      python3 basic/offline_inference/chat.py &&
+      python3 basic/offline_inference/generate.py --model facebook/opt-125m &&
+      python3 generate/multimodal/vision_language_offline.py --seed 0 &&
+      python3 features/automatic_prefix_caching/prefix_caching_offline.py'

.buildkite/intel_jobs/models_distributed_intel.yaml

@@ -0,0 +1,27 @@
+group: Models - Distributed
+depends_on: 
+  - image-build-xpu
+steps:
+- label: Distributed Model Tests (2 GPUs)
+  key: distributed-model-tests-2-gpus
+  timeout_in_minutes: 50
+  device: intel_gpu
+  agent_tags:
+    label: production
+    gpu: 2+
+    mem: 16+
+  no_plugin: true
+  working_dir: "."
+  env:
+    REGISTRY: "public.ecr.aws/q9t5s3a7"
+    REPO: "vllm-ci-test-repo"
+    VLLM_TEST_DEVICE: "xpu"
+  source_file_dependencies:
+  - vllm/model_executor/model_loader/sharded_state_loader.py
+  - vllm/model_executor/models/
+  - tests/model_executor/model_loader/test_sharded_state_loader.py
+  commands:
+    - >-
+      bash .buildkite/scripts/hardware_ci/run-intel-test.sh
+      'cd tests &&
+      pytest -v -s model_executor/model_loader/test_sharded_state_loader.py -m "not slow_test"'

.buildkite/intel_jobs/models_multimodal_intel.yaml

@@ -0,0 +1,127 @@
+group: Models - Multimodal
+depends_on:
+  - image-build-xpu
+steps:
+- label: "Multi-Modal Models (Standard) 1: qwen2"
+  key: multi-modal-models-standard-1-qwen2
+  timeout_in_minutes: 45
+  device: intel_gpu
+  agent_tags:
+    label: production
+    gpu: 1+
+    mem: 24+
+  no_plugin: true
+  working_dir: "."
+  env:
+    REGISTRY: "public.ecr.aws/q9t5s3a7"
+    REPO: "vllm-ci-test-repo"
+    VLLM_TEST_DEVICE: "xpu"
+  source_file_dependencies:
+  - vllm/
+  - tests/models/multimodal
+  commands:
+    - >-
+      bash .buildkite/scripts/hardware_ci/run-intel-test.sh
+      'pip install av &&
+      cd tests &&
+      pytest -v -s models/multimodal/generation/test_common.py -m core_model -k "qwen2" &&
+      pytest -v -s models/multimodal/generation/test_ultravox.py -m core_model'
+
+- label: "Multi-Modal Models (Standard) 2: qwen3 + gemma"
+  key: multi-modal-models-standard-2-qwen3-gemma
+  timeout_in_minutes: 45
+  device: intel_gpu
+  agent_tags:
+    label: production
+    gpu: 1+
+    mem: 16+
+  no_plugin: true
+  working_dir: "."
+  env:
+    REGISTRY: "public.ecr.aws/q9t5s3a7"
+    REPO: "vllm-ci-test-repo"
+    VLLM_TEST_DEVICE: "xpu"
+  source_file_dependencies:
+  - vllm/
+  - tests/models/multimodal
+  commands:
+    - >-
+      bash .buildkite/scripts/hardware_ci/run-intel-test.sh
+      'cd tests &&
+      pytest -v -s models/multimodal/generation/test_qwen2_5_vl.py -m core_model'
+
+- label: "Multi-Modal Models (Standard) 3: llava + qwen2_vl"
+  key: multi-modal-models-standard-3-llava-qwen2-vl
+  timeout_in_minutes: 45
+  device: intel_gpu
+  agent_tags:
+    label: production
+    gpu: 1+
+    mem: 24+
+  no_plugin: true
+  working_dir: "."
+  env:
+    REGISTRY: "public.ecr.aws/q9t5s3a7"
+    REPO: "vllm-ci-test-repo"
+    VLLM_TEST_DEVICE: "xpu"
+  source_file_dependencies:
+  - vllm/
+  - tests/models/multimodal
+  commands:
+    - >-
+      bash .buildkite/scripts/hardware_ci/run-intel-test.sh
+      'cd tests &&
+      pytest -v -s models/multimodal/generation/test_common.py -m core_model -k "not qwen2 and not qwen3 and not gemma" &&
+      pytest -v -s models/multimodal/generation/test_qwen2_vl.py -m core_model'
+
+- label: "Multi-Modal Models (Standard) 4: other + whisper"
+  key: multi-modal-models-standard-4-other-whisper
+  timeout_in_minutes: 45
+  device: intel_gpu
+  agent_tags:
+    label: production
+    gpu: 1+
+    mem: 24+
+  no_plugin: true
+  working_dir: "."
+  env:
+    REGISTRY: "public.ecr.aws/q9t5s3a7"
+    REPO: "vllm-ci-test-repo"
+    VLLM_TEST_DEVICE: "xpu"
+  source_file_dependencies:
+  - vllm/
+  - tests/models/multimodal
+  commands:
+    - >-
+      bash .buildkite/scripts/hardware_ci/run-intel-test.sh
+      'pip install av &&
+      cd tests &&
+      pytest -v -s models/multimodal -m core_model --ignore models/multimodal/generation/test_common.py --ignore models/multimodal/generation/test_ultravox.py --ignore models/multimodal/generation/test_qwen2_5_vl.py --ignore models/multimodal/generation/test_qwen2_vl.py --ignore models/multimodal/generation/test_whisper.py  --ignore models/multimodal/generation/test_memory_leak.py --ignore models/multimodal/processing'
+
+- label: Multi-Modal Processor # 44min
+  key: multi-modal-processor
+  timeout_in_minutes: 45
+  device: intel_gpu
+  agent_tags:
+    label: production
+    gpu: 1+
+    mem: 24+
+  no_plugin: true
+  working_dir: "."
+  env:
+    REGISTRY: "public.ecr.aws/q9t5s3a7"
+    REPO: "vllm-ci-test-repo"
+    VLLM_TEST_DEVICE: "xpu"
+  source_file_dependencies:
+  - vllm/
+  - tests/models/multimodal
+  - tests/models/registry.py
+  commands:
+    - >-
+      bash .buildkite/scripts/hardware_ci/run-intel-test.sh
+      'pip install av matplotlib ftfy &&
+      pip install open-clip-torch --no-deps &&
+      cd tests &&
+      pytest -v -s models/multimodal/processing/test_tensor_schema.py
+      --num-shards=$$BUILDKITE_PARALLEL_JOB_COUNT --shard-id=$$BUILDKITE_PARALLEL_JOB'
+  parallelism: 4

.buildkite/intel_jobs/quantization.yaml

@@ -0,0 +1,28 @@
+group: Quantization
+depends_on:
+  - image-build-xpu
+steps:
+- label: Quantization
+  key: quantization
+  timeout_in_minutes: 30
+  env:
+    REGISTRY: "public.ecr.aws/q9t5s3a7"
+    REPO: "vllm-ci-test-repo"
+    VLLM_TEST_DEVICE: "xpu"
+  no_plugin: true
+  working_dir: "."
+  device: intel_gpu
+  agent_tags:
+    label: production
+    gpu: 1+
+    mem: 16+
+  source_file_dependencies:
+  - csrc/
+  - vllm/model_executor/layers/quantization
+  - tests/quantization
+  commands:
+  # - VLLM_TEST_FORCE_LOAD_FORMAT=auto pytest -v -s quantization/ --ignore quantization/test_blackwell_moe.py
+  - >-
+    bash .buildkite/scripts/hardware_ci/run-intel-test.sh
+    'VLLM_TEST_FORCE_LOAD_FORMAT=auto pytest -v -s tests/quantization/test_per_token_kv_cache.py --deselect="tests/quantization/test_per_token_kv_cache.py::test_triton_unified_attention_per_token_head_scale[int4-16-128-num_heads0-seq_lens1]"'
+

.buildkite/intel_jobs/test-intel.yaml

@@ -19,6 +19,10 @@ steps:
       - image-build-xpu
     timeout_in_minutes: 30
     device: intel_gpu
+    agent_tags:
+      label: production
+      gpu: 2+
+      mem: 24+
     no_plugin: true
     env:
       REGISTRY: "public.ecr.aws/q9t5s3a7"
@@ -38,17 +42,46 @@ steps:
         python3 examples/basic/offline_inference/generate.py --model facebook/opt-125m --block-size 64 --enforce-eager --kv-cache-dtype fp8 &&
         python3 examples/basic/offline_inference/generate.py --model nvidia/Llama-3.1-8B-Instruct-FP8 --block-size 64 --enforce-eager --quantization modelopt --kv-cache-dtype fp8 --attention-backend TRITON_ATTN --max-model-len 4096 &&
         python3 examples/basic/offline_inference/generate.py --model superjob/Qwen3-4B-Instruct-2507-GPTQ-Int4 --block-size 64 --enforce-eager --max-model-len 8192 &&
+        python3 examples/basic/offline_inference/generate.py --model TheBloke/TinyLlama-1.1B-Chat-v0.3-AWQ --block-size 64 --enforce-eager &&
         python3 examples/basic/offline_inference/generate.py --model ibm-research/PowerMoE-3b --block-size 64 --enforce-eager -tp 2 &&
         python3 examples/basic/offline_inference/generate.py --model ibm-research/PowerMoE-3b --block-size 64 --enforce-eager -tp 2 --enable-expert-parallel &&
         python3 examples/basic/offline_inference/generate.py --model superjob/Qwen3-4B-Instruct-2507-GPTQ-Int4 --max-model-len 8192 &&
         VLLM_XPU_FUSED_MOE_USE_REF=1 python3 examples/basic/offline_inference/generate.py --model Qwen/Qwen3-30B-A3B-Instruct-2507-FP8 --enforce-eager -tp 2 --max-model-len 8192 &&
         python3 examples/basic/offline_inference/generate.py --model INCModel/Qwen3-30B-A3B-Instruct-2507-MXFP4-LLMC --enforce-eager -tp 2 --max-model-len 8192
         '
+  - label: "XPU W8A8 FP8 Linear Examples"
+    depends_on:
+      - image-build-xpu
+    timeout_in_minutes: 60
+    device: intel_gpu
+    agent_tags:
+      label: production
+      gpu: 1+
+      mem: 24+
+    no_plugin: true
+    env:
+      REGISTRY: "public.ecr.aws/q9t5s3a7"
+      REPO: "vllm-ci-test-repo"
+      VLLM_TEST_DEVICE: "xpu"
+    source_file_dependencies:
+      - vllm/
+      - .buildkite/intel_jobs/test-intel.yaml
+    commands:
+      - >-
+        bash .buildkite/scripts/hardware_ci/run-intel-test.sh
+        'python3 examples/basic/offline_inference/generate.py --linear-backend xpu --model RedHatAI/Meta-Llama-3.1-8B-Instruct-FP8 --enforce-eager --max-model-len 4096 &&
+        python3 examples/basic/offline_inference/generate.py --linear-backend xpu --model neuralmagic/Llama-3.2-1B-Instruct-FP8-dynamic --enforce-eager --max-model-len 4096 &&
+        python3 examples/basic/offline_inference/generate.py --linear-backend xpu --model meta-llama/Llama-3.2-1B-Instruct --quantization fp8 --enforce-eager --max-model-len 4096
+        '
   - label: "XPU V1 test"
     depends_on:
       - image-build-xpu
     timeout_in_minutes: 30
     device: intel_gpu
+    agent_tags:
+      label: production
+      gpu: 1+
+      mem: 24+
     no_plugin: true
     env:
       REGISTRY: "public.ecr.aws/q9t5s3a7"
@@ -66,13 +99,17 @@ steps:
         pytest -v -s v1/worker --ignore=v1/worker/test_gpu_model_runner.py --ignore=v1/worker/test_worker_memory_snapshot.py &&
         pytest -v -s v1/structured_output &&
         pytest -v -s v1/test_serial_utils.py &&
-        pytest -v -s v1/spec_decode --ignore=v1/spec_decode/test_max_len.py --ignore=v1/spec_decode/test_speculators_eagle3.py --ignore=v1/spec_decode/test_acceptance_length.py &&
+        pytest -v -s v1/spec_decode --ignore=v1/spec_decode/test_max_len.py --ignore=v1/spec_decode/test_speculators_eagle3.py --ignore=v1/spec_decode/test_acceptance_length.py --ignore=v1/spec_decode/test_speculators_correctness.py &&
         pytest -v -s v1/kv_connector/unit --ignore=v1/kv_connector/unit/test_multi_connector.py --ignore=v1/kv_connector/unit/test_example_connector.py --ignore=v1/kv_connector/unit/test_lmcache_integration.py --ignore=v1/kv_connector/unit/test_hf3fs_client.py --ignore=v1/kv_connector/unit/test_hf3fs_connector.py --ignore=v1/kv_connector/unit/test_hf3fs_metadata_server.py --ignore=v1/kv_connector/unit/test_offloading_connector.py'
   - label: "XPU server test"
     depends_on:
       - image-build-xpu
     timeout_in_minutes: 30
     device: intel_gpu
+    agent_tags:
+      label: production
+      gpu: 1+
+      mem: 16+
     no_plugin: true
     env:
       REGISTRY: "public.ecr.aws/q9t5s3a7"
@@ -85,5 +122,49 @@ steps:
         bash .buildkite/scripts/hardware_ci/run-intel-test.sh
         'pip install av &&
         cd tests &&
-        pytest -v -s entrypoints/openai/chat_completion/test_audio_in_video.py &&
+        pytest -v -s entrypoints/multimodal/openai/chat_completion/test_audio_in_video.py &&
         pytest -v -s benchmarks/test_serve_cli.py'
+  - label: "XPU quantization test"
+    depends_on:
+      - image-build-xpu
+    timeout_in_minutes: 30
+    device: intel_gpu
+    agent_tags:
+      label: production
+      gpu: 1+
+      mem: 16+
+    no_plugin: true
+    env:
+      REGISTRY: "public.ecr.aws/q9t5s3a7"
+      REPO: "vllm-ci-test-repo"
+    source_file_dependencies:
+      - vllm/
+      - .buildkite/intel_jobs/test-intel.yaml 
+    commands:
+      - >-
+        bash .buildkite/scripts/hardware_ci/run-intel-test.sh
+        'cd tests &&
+        pytest -v -s quantization/test_auto_round.py'
+  - label: "XPU compressed tensors FP8 test"
+    depends_on:
+      - image-build-xpu
+    timeout_in_minutes: 60
+    device: intel_gpu
+    agent_tags:
+      label: production
+      gpu: 1+
+      mem: 16+
+    no_plugin: true
+    env:
+      REGISTRY: "public.ecr.aws/q9t5s3a7"
+      REPO: "vllm-ci-test-repo"
+      VLLM_TEST_DEVICE: "xpu"
+    source_file_dependencies:
+      - vllm/
+      - tests/quantization/test_compressed_tensors.py
+      - .buildkite/intel_jobs/test-intel.yaml
+    commands:
+      - >-
+        bash .buildkite/scripts/hardware_ci/run-intel-test.sh
+        'cd tests &&
+        pytest -v -s quantization/test_compressed_tensors.py::test_compressed_tensors_fp8'

.buildkite/lm-eval-harness/configs/NVIDIA-Nemotron-3-Nano-30B-A3B-FP8.yaml

@@ -6,9 +6,7 @@ tasks:
     value: 0.7142
   - name: "exact_match,flexible-extract"
     value: 0.4579
-env_vars:
-  VLLM_USE_FLASHINFER_MOE_FP8: "1"
-  VLLM_FLASHINFER_MOE_BACKEND: "throughput"
+moe_backend: "flashinfer_cutlass"
 limit: 1319
 num_fewshot: 5
 max_model_len: 262144

.buildkite/lm-eval-harness/test_lm_eval_correctness.py

@@ -68,6 +68,10 @@ def launch_lm_eval(eval_config, tp_size):
     if current_platform.is_rocm() and "Nemotron-3" in eval_config["model_name"]:
         model_args += "attention_backend=TRITON_ATTN"
 
+    moe_backend = eval_config.get("moe_backend", None)
+    if moe_backend is not None:
+        model_args += f"moe_backend={moe_backend},"
+
     env_vars = eval_config.get("env_vars", None)
     with scoped_env_vars(env_vars):
         results = lm_eval.simple_evaluate(

.buildkite/release-pipeline.yaml

@@ -1,12 +1,25 @@
 # CUDA architecture lists — following PyTorch RELEASE.md
 # (https://github.com/pytorch/pytorch/blob/main/RELEASE.md)
 # SM86 included for broader Ampere coverage; SM89 for marlin fp8 support
+# These requested arches are filtered by CMake's CUDA_SUPPORTED_ARCHS before
+# per-kernel arch selection. Do not add +PTX here: top-level +PTX is stripped
+# during that filtering, so kernels that need PTX must request it locally.
 env:
-  CUDA_ARCH_X86: "7.5 8.0 8.6 8.9 9.0 10.0 12.0+PTX"
-  # aarch64 only architectures: 8.7 for Orin, 11.0 for Thor (since CUDA 13)
-  CUDA_ARCH_AARCH64: "8.0 8.7 8.9 9.0 10.0 11.0 12.0+PTX"
+  # for CUDA >=13, sm_100+ targets have family specifiers (see CMakeLists.txt)
+  # so targets like 10.3 and 12.1 are automatically supported with this list
+  CUDA_ARCH_X86: "7.5 8.0 8.6 8.9 9.0 10.0 12.0"
+  # aarch64-only targets: Orin (8.7), Thor (11.0, CUDA 13+)
+  CUDA_ARCH_AARCH64: "8.0 8.7 8.9 9.0 10.0 11.0 12.0"
+
+  # for CUDA <13, we need to specify all needed targets
+  # some targets (10.3, 12.1) are skipped to limit the wheel size (< 500MB)
+  # please use CUDA 13 wheels or compile yourself on these new devices
   CUDA_ARCH_X86_CU129: "7.5 8.0 8.6 8.9 9.0 10.0 12.0"
   CUDA_ARCH_AARCH64_CU129: "8.0 8.7 8.9 9.0 10.0 12.0"
+  
+  # pre-built mooncake wheels
+  # the manylinux_2_35 wheel has compatibility issue on Ubuntu 24.04
+  # so we use different wheels for the time being
   MOONCAKE_WHEEL_AARCH64_2_35: "https://vllm-wheels.s3.amazonaws.com/mooncake/mooncake_transfer_engine-0.3.10.post2-0da9dfea3-cp312-cp312-manylinux_2_35_aarch64.whl"
   MOONCAKE_WHEEL_AARCH64_2_39: "https://vllm-wheels.s3.amazonaws.com/mooncake/mooncake_transfer_engine-0.3.10.post2-0da9dfea3-cp312-cp312-manylinux_2_39_aarch64.whl"
   MOONCAKE_WHEEL_X86_64: "https://vllm-wheels.s3.amazonaws.com/mooncake/mooncake_transfer_engine-0.3.10.post2-0da9dfea3-cp312-cp312-manylinux_2_35_x86_64.whl"
@@ -337,6 +350,25 @@ steps:
           - "docker push public.ecr.aws/q9t5s3a7/vllm-release-repo:$BUILDKITE_COMMIT-$(uname -m)-cu129-ubuntu2404"
           - 'bash .buildkite/scripts/annotate-build-artifact.sh "$$BUILDKITE_LABEL" "public.ecr.aws/q9t5s3a7/vllm-release-repo:$BUILDKITE_COMMIT-$(uname -m)-cu129-ubuntu2404"'
 
+      - label: ":docker: Build release image - x86_64 - XPU"
+        depends_on: ~
+        id: build-xpu-release-image
+        agents:
+          queue: cpu_queue_release
+        commands:
+          - "aws ecr-public get-login-password --region us-east-1 | docker login --username AWS --password-stdin public.ecr.aws/q9t5s3a7"
+          - |
+            DOCKER_BUILDKIT=1 docker build \
+              $(bash .buildkite/scripts/docker-build-metadata-args.sh xpu) \
+              --build-arg GIT_REPO_CHECK=1 \
+              --target vllm-openai \
+              --progress plain \
+              -f docker/Dockerfile.xpu .
+          - "docker push public.ecr.aws/q9t5s3a7/vllm-release-repo:$BUILDKITE_COMMIT-$(uname -m)-xpu"
+          - 'bash .buildkite/scripts/annotate-build-artifact.sh "$$BUILDKITE_LABEL" "public.ecr.aws/q9t5s3a7/vllm-release-repo:$BUILDKITE_COMMIT-$(uname -m)-xpu"'
+        env:
+          DOCKER_BUILDKIT: "1"
+
       - block: "Build release image for x86_64 CPU"
         key: block-cpu-release-image-build
         depends_on: ~
@@ -432,6 +464,16 @@ steps:
           - "docker manifest push public.ecr.aws/q9t5s3a7/vllm-release-repo:$BUILDKITE_COMMIT-cu129-ubuntu2404"
           - 'bash .buildkite/scripts/annotate-build-artifact.sh "Manifest: CUDA 12.9 Ubuntu 24.04" "public.ecr.aws/q9t5s3a7/vllm-release-repo:$BUILDKITE_COMMIT-cu129-ubuntu2404"'
 
+      - label: "Create manifest - XPU"
+        depends_on:
+          - build-xpu-release-image
+        id: create-manifest-xpu
+        agents:
+          queue: small_cpu_queue_release
+        commands:
+          - "bash .buildkite/scripts/xpu/create-xpu-ecr-manifest.sh"
+          - 'bash .buildkite/scripts/annotate-build-artifact.sh "Manifest: XPU" "public.ecr.aws/q9t5s3a7/vllm-release-repo:$BUILDKITE_COMMIT-xpu"'
+
       - label: "Publish nightly multi-arch image to DockerHub"
         depends_on:
           - create-multi-arch-manifest
@@ -806,6 +848,23 @@ steps:
       DOCKER_BUILDKIT: "1"
       S3_BUCKET: "vllm-wheels"
 
+  - label: "Publish nightly XPU image to DockerHub"
+    depends_on:
+      - create-manifest-xpu
+    if: build.env("NIGHTLY") == "1"
+    agents:
+      queue: small_cpu_queue_release
+    commands:
+      - "bash .buildkite/scripts/xpu/push-nightly-builds-xpu.sh"
+      - "bash .buildkite/scripts/cleanup-nightly-builds.sh nightly- vllm/vllm-openai-xpu"
+    plugins:
+      - docker-login#v3.0.0:
+          username: vllmbot
+          password-env: DOCKERHUB_TOKEN
+    env:
+      DOCKER_BUILDKIT: "1"
+      DOCKERHUB_USERNAME: "vllmbot"
+
   - label: "Publish nightly ROCm image to DockerHub"
     depends_on:
       - build-rocm-release-image
@@ -836,6 +895,7 @@ steps:
       - create-multi-arch-manifest-cuda-12-9
       - create-multi-arch-manifest-ubuntu2404
       - create-multi-arch-manifest-cuda-12-9-ubuntu2404
+      - create-manifest-xpu
       - build-rocm-release-image
       - input-release-version
       # Wait for CPU builds if their block steps were unblocked, so publish
@@ -846,7 +906,6 @@ steps:
         allow_failure: true
       - step: build-cpu-release-image-arm64
         allow_failure: true
-    if: build.env("NIGHTLY") != "1"
 
   - label: "Publish release images to DockerHub"
     depends_on:

.buildkite/scripts/annotate-image-build.sh

@@ -0,0 +1,36 @@
+#!/bin/bash
+# SPDX-License-Identifier: Apache-2.0
+# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
+#
+# Append the Docker image tag(s) an image-build step pushed to a Buildkite
+# annotation, so the built image tags show up on the build page instead of
+# being buried in the job logs.
+#
+# Usage: annotate-image-build.sh <image_tag> [<image_tag> ...]
+set -euo pipefail
+
+# buildkite-agent only exists on Buildkite agents; no-op elsewhere so the
+# image build scripts stay runnable locally.
+if ! command -v buildkite-agent >/dev/null 2>&1; then
+    echo "buildkite-agent not found; skipping image tag annotation"
+    exit 0
+fi
+
+label="${BUILDKITE_LABEL:-Image build}"
+content=""
+for image in "$@"; do
+    [[ -n "$image" ]] || continue
+    content+="- **${label}**: \`${image}\`"$'\n'
+done
+
+if [[ -z "$content" ]]; then
+    echo "No image tags provided; nothing to annotate"
+    exit 0
+fi
+
+# Best-effort: a flaky annotation must never fail an otherwise successful
+# (and expensive) image build.
+if ! printf '%s' "$content" | \
+    buildkite-agent annotate --append --style 'info' --context 'docker-images'; then
+    echo "warning: failed to annotate build with image tags"
+fi

.buildkite/scripts/check-ray-compatibility.sh

@@ -29,7 +29,11 @@ if python3 -c "import torch; assert torch.version.hip" 2>/dev/null; then
         TORCH_INDEX_URL=""
     fi
 else
-    TORCH_INDEX_URL="https://download.pytorch.org/whl/cu130"
+    if [ "${TORCH_NIGHTLY:-0}" = "1" ]; then
+        TORCH_INDEX_URL="https://download.pytorch.org/whl/nightly/cu130"
+    else
+        TORCH_INDEX_URL="https://download.pytorch.org/whl/cu130"
+    fi
 fi
 echo ">>> Using PyTorch index: ${TORCH_INDEX_URL:-PyPI default}"
 

.buildkite/scripts/ci-bake-rocm.sh

@@ -15,9 +15,10 @@ set -euo pipefail
 
 DEFAULT_REPO_SLUG="vllm-project/vllm"
 DEFAULT_CI_HCL_SOURCE="docker/ci-rocm.hcl"
-DEFAULT_CI_BASE_CONTENT_FILES="requirements/common.txt requirements/rocm.txt requirements/test/rocm.txt docker/Dockerfile.rocm_base tools/install_torchcodec_rocm.sh tests/vllm_test_utils"
+DEFAULT_CI_BASE_CONTENT_FILES="requirements/common.txt requirements/rocm.txt requirements/test/rocm.txt docker/Dockerfile.rocm_base docker/ci-rocm.hcl docker/docker-bake-rocm.hcl tools/install_torchcodec_rocm.sh tests/vllm_test_utils .buildkite/scripts/ci-bake-rocm.sh .buildkite/scripts/rocm/build-ci-base.sh"
 DEFAULT_CI_BASE_DOCKERFILE="docker/Dockerfile.rocm"
 DEFAULT_CI_BASE_DOCKERFILE_STAGES="base build_rixl build_rocshmem build_deepep mori_base ci_base"
+DEFAULT_CI_BASE_METADATA_VERSION="1"
 IMAGE_EXISTED_BEFORE_BUILD=0
 
 TARGET=""
@@ -392,6 +393,16 @@ should_upload_wheel_artifacts() {
         || "${TARGET}" == *"artifact"* ]]
 }
 
+set_buildkite_metadata() {
+    local key="$1"
+    local value="$2"
+
+    [[ -n "${value}" ]] || return 0
+    if command -v buildkite-agent >/dev/null 2>&1; then
+        buildkite-agent meta-data set "${key}" "${value}" || true
+    fi
+}
+
 get_remote_image_label() {
     local image_ref="$1"
     local label_key="$2"
@@ -525,6 +536,22 @@ get_remote_image_label_with_retry() {
     return 0
 }
 
+remote_ci_base_metadata_is_current() {
+    local image_ref="$1"
+    local metadata_version=""
+
+    metadata_version=$(get_remote_image_label "${image_ref}" "vllm.ci_base.metadata_version")
+    [[ "${metadata_version}" == "${CI_BASE_METADATA_VERSION:-${DEFAULT_CI_BASE_METADATA_VERSION}}" ]]
+}
+
+remote_ci_base_metadata_is_current_with_retry() {
+    local image_ref="$1"
+    local metadata_version=""
+
+    metadata_version=$(get_remote_image_label_with_retry "${image_ref}" "vllm.ci_base.metadata_version")
+    [[ "${metadata_version}" == "${CI_BASE_METADATA_VERSION:-${DEFAULT_CI_BASE_METADATA_VERSION}}" ]]
+}
+
 remote_image_exists() {
     local image_ref="$1"
     docker manifest inspect "${image_ref}" >/dev/null 2>&1
@@ -581,6 +608,7 @@ init_config() {
     CI_BASE_CONTENT_FILES="${CI_BASE_CONTENT_FILES:-${DEFAULT_CI_BASE_CONTENT_FILES}}"
     CI_BASE_DOCKERFILE="${CI_BASE_DOCKERFILE:-${DEFAULT_CI_BASE_DOCKERFILE}}"
     CI_BASE_DOCKERFILE_STAGES="${CI_BASE_DOCKERFILE_STAGES:-${DEFAULT_CI_BASE_DOCKERFILE_STAGES}}"
+    CI_BASE_METADATA_VERSION="${CI_BASE_METADATA_VERSION:-${DEFAULT_CI_BASE_METADATA_VERSION}}"
     CI_BASE_IMAGE_TAG="${CI_BASE_IMAGE_TAG:-rocm/vllm-dev:ci_base}"
     export PYTORCH_ROCM_ARCH
 
@@ -635,6 +663,10 @@ load_ci_hcl() {
     echo "Copied ${CI_HCL_SOURCE} to ${CI_HCL_PATH}"
 }
 
+init_bake_files() {
+    BAKE_FILES=(-f "${VLLM_BAKE_FILE}" -f "${CI_HCL_PATH}")
+}
+
 compute_ci_base_hash_if_needed() {
     if [[ -z "${CI_BASE_CONTENT_FILES:-}" ]]; then
         return 0
@@ -676,12 +708,14 @@ configure_ci_base_image_refs() {
     fi
 
     content_tag=$(ci_base_tag_with_suffix "${stable_tag}" "${CI_BASE_CONTENT_HASH}")
+    CI_BASE_IMAGE_TAG_CONTENT_REF="${content_tag}"
     if [[ -n "${BUILDKITE_COMMIT:-}" ]]; then
         commit_tag=$(ci_base_tag_with_suffix "${stable_tag}" "${BUILDKITE_COMMIT}")
-        CI_BASE_IMAGE_TAG_COMMIT="${commit_tag}"
-        export CI_BASE_IMAGE_TAG_COMMIT
     fi
+    CI_BASE_IMAGE_TAG_COMMIT_REF="${commit_tag}"
 
+    # *_REF is the logical tag recorded in metadata. *_EXTRA is only passed to
+    # bake when that tag is not already the primary tag, avoiding duplicates.
     if should_push_stable_ci_base_tag; then
         primary_tag="${content_tag}"
         CI_BASE_IMAGE_TAG_STABLE="${stable_tag}"
@@ -691,19 +725,35 @@ configure_ci_base_image_refs() {
     fi
     CI_BASE_IMAGE_TAG="${primary_tag}"
     if [[ "${primary_tag}" == "${content_tag}" ]]; then
-        CI_BASE_IMAGE_TAG_CONTENT=""
+        CI_BASE_IMAGE_TAG_CONTENT_EXTRA=""
     else
-        CI_BASE_IMAGE_TAG_CONTENT="${content_tag}"
+        CI_BASE_IMAGE_TAG_CONTENT_EXTRA="${content_tag}"
     fi
-    export CI_BASE_IMAGE_TAG CI_BASE_IMAGE_TAG_CONTENT CI_BASE_IMAGE_TAG_STABLE
+    if [[ -n "${commit_tag}" && "${commit_tag}" != "${primary_tag}" ]]; then
+        CI_BASE_IMAGE_TAG_COMMIT_EXTRA="${commit_tag}"
+    else
+        CI_BASE_IMAGE_TAG_COMMIT_EXTRA=""
+    fi
+    export CI_BASE_IMAGE_TAG
+    export CI_BASE_IMAGE_TAG_COMMIT_EXTRA
+    export CI_BASE_IMAGE_TAG_CONTENT_EXTRA
+    export CI_BASE_IMAGE_TAG_CONTENT_REF
+    export CI_BASE_IMAGE_TAG_COMMIT_REF
+    export CI_BASE_IMAGE_TAG_STABLE
 
     if is_ci_base_target; then
         IMAGE_TAG="${primary_tag}"
+        CI_BASE_IMAGE="${primary_tag}"
+        export CI_BASE_IMAGE
         export IMAGE_TAG
 
         echo "ci_base primary image tag: ${CI_BASE_IMAGE_TAG}"
-        if [[ -n "${CI_BASE_IMAGE_TAG_COMMIT:-}" ]]; then
-            echo "ci_base commit image tag: ${CI_BASE_IMAGE_TAG_COMMIT}"
+        if [[ -n "${commit_tag}" ]]; then
+            if [[ "${commit_tag}" == "${primary_tag}" ]]; then
+                echo "ci_base commit image tag: ${commit_tag} (primary)"
+            else
+                echo "ci_base commit image tag: ${commit_tag}"
+            fi
         fi
         echo "ci_base content image tag: ${content_tag}"
         if [[ -n "${CI_BASE_IMAGE_TAG_STABLE}" ]]; then
@@ -712,6 +762,10 @@ configure_ci_base_image_refs() {
             echo "ci_base stable alias will not be pushed for this build"
             echo "Set NIGHTLY=1 on ${CI_BASE_STABLE_BRANCH:-main} to refresh ${stable_tag}"
         fi
+        set_buildkite_metadata "rocm-ci-base-image" "${CI_BASE_IMAGE_TAG}"
+        set_buildkite_metadata "rocm-ci-base-image-content" "${content_tag}"
+        set_buildkite_metadata "rocm-ci-base-image-commit" "${CI_BASE_IMAGE_TAG_COMMIT:-}"
+        set_buildkite_metadata "rocm-ci-base-image-stable" "${CI_BASE_IMAGE_TAG_STABLE:-}"
         return 0
     fi
 
@@ -728,8 +782,8 @@ ci_base_candidate_refs() {
     printf '%s\n' \
         "${IMAGE_TAG:-}" \
         "${CI_BASE_IMAGE_TAG:-}" \
-        "${CI_BASE_IMAGE_TAG_COMMIT:-}" \
-        "${CI_BASE_IMAGE_TAG_CONTENT:-}" \
+        "${CI_BASE_IMAGE_TAG_COMMIT_EXTRA:-}" \
+        "${CI_BASE_IMAGE_TAG_CONTENT_EXTRA:-}" \
         "${CI_BASE_IMAGE_TAG_STABLE:-}" \
         | awk 'NF && !seen[$0]++'
 }
@@ -743,6 +797,10 @@ find_matching_ci_base_ref() {
         remote_image_exists "${candidate}" || continue
         candidate_hash=$(get_remote_image_label "${candidate}" "vllm.ci_base.content_hash")
         if [[ "${candidate_hash}" == "${CI_BASE_CONTENT_HASH}" ]]; then
+            if ! remote_ci_base_metadata_is_current "${candidate}"; then
+                echo "Found matching ci_base content hash but stale metadata: ${candidate}" >&2
+                continue
+            fi
             printf '%s\n' "${candidate}"
             return 0
         fi
@@ -817,6 +875,10 @@ maybe_skip_existing_image() {
         if [[ -n "${remote_hash}" ]]; then
             echo "Remote ci_base content hash: ${remote_hash:0:16}..."
             if [[ "${remote_hash}" == "${CI_BASE_CONTENT_HASH}" ]]; then
+                if ! remote_ci_base_metadata_is_current "${IMAGE_TAG}"; then
+                    echo "Content hashes match but ci_base metadata is stale; rebuilding to refresh metadata"
+                    return 0
+                fi
                 if ! refresh_ci_base_tags_from_ref "${IMAGE_TAG}"; then
                     echo "ci_base tag refresh failed; rebuilding to push expected tags"
                     return 0
@@ -998,12 +1060,104 @@ prepare_git_cache_metadata() {
     fi
 }
 
+ci_base_metadata_pairs() {
+    local dockerfile="${CI_BASE_DOCKERFILE:-${DEFAULT_CI_BASE_DOCKERFILE}}"
+    local stages="${CI_BASE_DOCKERFILE_STAGES:-${DEFAULT_CI_BASE_DOCKERFILE_STAGES}}"
+    local content_files="${CI_BASE_CONTENT_FILES:-${DEFAULT_CI_BASE_CONTENT_FILES}}"
+    local content_files_hash=""
+    local base_image=""
+    local base_image_digest=""
+    local git_branch=""
+    local -a content_paths=()
+    local -a content_args=()
+
+    read -r -a content_paths <<< "${content_files}"
+    if [[ ${#content_paths[@]} -gt 0 ]]; then
+        content_files_hash=$(compute_content_hash "${content_paths[@]}")
+    fi
+    mapfile -t content_args < <(
+        get_content_arg_names "${dockerfile}" "${stages}" "${CI_BASE_CONTENT_ARGS:-}"
+    )
+
+    base_image=$(resolve_dockerfile_arg_value "${dockerfile}" "BASE_IMAGE")
+    if [[ -n "${base_image}" ]]; then
+        base_image_digest=$(resolve_image_digest "${base_image}")
+    fi
+    git_branch="${BUILDKITE_BRANCH:-${VLLM_BRANCH:-}}"
+
+    metadata_pair "vllm.ci_base.metadata_version" "${CI_BASE_METADATA_VERSION:-${DEFAULT_CI_BASE_METADATA_VERSION}}"
+    metadata_pair "vllm.ci_base.content_hash" "${CI_BASE_CONTENT_HASH:-}"
+    metadata_pair "vllm.ci_base.content_files_hash" "${content_files_hash}"
+    metadata_pair "vllm.ci_base.content_files" "${content_files}"
+    metadata_pair "vllm.ci_base.content_args" "$(join_words "${content_args[@]}")"
+    metadata_pair "vllm.ci_base.dockerfile" "${dockerfile}"
+    metadata_pair "vllm.ci_base.dockerfile_stages" "${stages}"
+    metadata_pair "vllm.ci_base.image.primary" "${CI_BASE_IMAGE_TAG:-}"
+    metadata_pair "vllm.ci_base.image.content" "${CI_BASE_IMAGE_TAG_CONTENT_REF:-${CI_BASE_IMAGE_TAG_CONTENT_EXTRA:-}}"
+    metadata_pair "vllm.ci_base.image.commit" "${CI_BASE_IMAGE_TAG_COMMIT_REF:-${CI_BASE_IMAGE_TAG_COMMIT_EXTRA:-}}"
+    metadata_pair "vllm.ci_base.image.stable" "${CI_BASE_IMAGE_TAG_STABLE:-}"
+    metadata_pair "vllm.ci_base.git_commit" "${BUILDKITE_COMMIT:-}"
+    metadata_pair "vllm.ci_base.git_branch" "${git_branch}"
+    metadata_pair "vllm.ci_base.vllm_branch" "${VLLM_BRANCH:-}"
+    metadata_pair "vllm.ci_base.stable_branch" "${CI_BASE_STABLE_BRANCH:-main}"
+
+    metadata_pair "vllm.rocm.base_image" "${base_image}"
+    metadata_pair "vllm.rocm.base_image_digest" "${base_image_digest}"
+    metadata_pair "vllm.rocm.pytorch_rocm_arch" "${PYTORCH_ROCM_ARCH:-}"
+    metadata_pair "vllm.rocm.nic_backend" "$(resolve_dockerfile_arg_value "${dockerfile}" "NIC_BACKEND")"
+    metadata_pair "vllm.rocm.ainic_version" "$(resolve_dockerfile_arg_value "${dockerfile}" "AINIC_VERSION")"
+    metadata_pair "vllm.rocm.ubuntu_codename" "$(resolve_dockerfile_arg_value "${dockerfile}" "UBUNTU_CODENAME")"
+    metadata_pair "vllm.rocm.rixl_repo" "$(resolve_dockerfile_arg_value "${dockerfile}" "RIXL_REPO")"
+    metadata_pair "vllm.rocm.rixl_commit" "${RIXL_BRANCH:-$(resolve_dockerfile_arg_value "${dockerfile}" "RIXL_BRANCH")}"
+    metadata_pair "vllm.rocm.ucx_repo" "$(resolve_dockerfile_arg_value "${dockerfile}" "UCX_REPO")"
+    metadata_pair "vllm.rocm.ucx_commit" "${UCX_BRANCH:-$(resolve_dockerfile_arg_value "${dockerfile}" "UCX_BRANCH")}"
+    metadata_pair "vllm.rocm.rocshmem_repo" "$(resolve_dockerfile_arg_value "${dockerfile}" "ROCSHMEM_REPO")"
+    metadata_pair "vllm.rocm.rocshmem_commit" "${ROCSHMEM_BRANCH:-$(resolve_dockerfile_arg_value "${dockerfile}" "ROCSHMEM_BRANCH")}"
+    metadata_pair "vllm.rocm.deepep_repo" "$(resolve_dockerfile_arg_value "${dockerfile}" "DEEPEP_REPO")"
+    metadata_pair "vllm.rocm.deepep_commit" "${DEEPEP_BRANCH:-$(resolve_dockerfile_arg_value "${dockerfile}" "DEEPEP_BRANCH")}"
+    metadata_pair "vllm.rocm.deepep_nic" "$(resolve_dockerfile_arg_value "${dockerfile}" "DEEPEP_NIC")"
+    metadata_pair "vllm.rocm.deepep_rocm_arch" "$(resolve_dockerfile_arg_value "${dockerfile}" "DEEPEP_ROCM_ARCH")"
+    metadata_pair "vllm.rocm.rixl_cache_key" "${RIXL_CACHE_KEY:-}"
+    metadata_pair "vllm.rocm.rocshmem_cache_key" "${ROCSHMEM_CACHE_KEY:-}"
+    metadata_pair "vllm.rocm.deepep_cache_key" "${DEEPEP_CACHE_KEY:-}"
+
+    metadata_pair "vllm.buildkite.build_number" "${BUILDKITE_BUILD_NUMBER:-}"
+    metadata_pair "vllm.buildkite.build_id" "${BUILDKITE_BUILD_ID:-}"
+}
+
+write_ci_base_metadata_annotations() {
+    local metadata="$1"
+    local key=""
+    local value=""
+    local annotation=""
+
+    [[ -n "${metadata}" ]] || return 0
+    while IFS=$'\t' read -r key value; do
+        [[ -n "${key}" && -n "${value}" ]] || continue
+        annotation="manifest:${key}=${value}"
+        printf '    "%s",\n' "$(hcl_escape_string "${annotation}")"
+    done <<< "${metadata}"
+}
+
+write_ci_base_metadata_labels() {
+    local metadata="$1"
+    local key=""
+    local value=""
+
+    [[ -n "${metadata}" ]] || return 0
+    while IFS=$'\t' read -r key value; do
+        [[ -n "${key}" && -n "${value}" ]] || continue
+        printf '    "%s" = "%s"\n' \
+            "$(hcl_escape_string "${key}")" \
+            "$(hcl_escape_string "${value}")"
+    done <<< "${metadata}"
+}
+
 write_ci_base_label_override() {
     local target_name=""
+    local metadata=""
     local -a ci_base_targets=()
 
-    BAKE_FILES=(-f "${VLLM_BAKE_FILE}" -f "${CI_HCL_PATH}")
-
     if [[ -z "${CI_BASE_CONTENT_HASH:-}" ]]; then
         return 0
     fi
@@ -1019,16 +1173,23 @@ write_ci_base_label_override() {
         return 0
     fi
 
+    metadata=$(ci_base_metadata_pairs)
+
     : > "${CI_BASE_LABEL_OVERRIDE_PATH}"
     for target_name in "${ci_base_targets[@]}"; do
         cat >> "${CI_BASE_LABEL_OVERRIDE_PATH}" <<EOF
 target "${target_name}" {
   annotations = [
     "manifest:org.opencontainers.image.revision=",
+EOF
+        write_ci_base_metadata_annotations "${metadata}" >> "${CI_BASE_LABEL_OVERRIDE_PATH}"
+        cat >> "${CI_BASE_LABEL_OVERRIDE_PATH}" <<EOF
   ]
   labels = {
     "org.opencontainers.image.revision" = ""
-    "vllm.ci_base.content_hash" = "${CI_BASE_CONTENT_HASH}"
+EOF
+        write_ci_base_metadata_labels "${metadata}" >> "${CI_BASE_LABEL_OVERRIDE_PATH}"
+        cat >> "${CI_BASE_LABEL_OVERRIDE_PATH}" <<EOF
   }
 }
 
@@ -1036,7 +1197,7 @@ EOF
     done
 
     BAKE_FILES+=(-f "${CI_BASE_LABEL_OVERRIDE_PATH}")
-    echo "Appended ci_base content-hash label override for targets: ${ci_base_targets[*]}"
+    echo "Appended ci_base metadata label override for targets: ${ci_base_targets[*]}"
 }
 
 uses_rocm_csrc_cache() {
@@ -1119,6 +1280,18 @@ hcl_escape_string() {
     printf '%s' "${value}"
 }
 
+join_words() {
+    local IFS=" "
+    printf '%s' "$*"
+}
+
+metadata_pair() {
+    local key="$1"
+    local value="${2:-}"
+
+    printf '%s\t%s\n' "${key}" "${value}"
+}
+
 write_hcl_string_list() {
     local indent="$1"
     shift
@@ -1541,7 +1714,13 @@ confirm_remote_image_push() {
 
         remote_hash=$(get_remote_image_label_with_retry "${image_ref}" "vllm.ci_base.content_hash")
         if [[ -n "${remote_hash}" && "${remote_hash}" == "${CI_BASE_CONTENT_HASH}" ]]; then
-            return 0
+            if remote_ci_base_metadata_is_current_with_retry "${image_ref}"; then
+                return 0
+            fi
+
+            echo "Remote image exists with the expected ci_base content hash but stale metadata."
+            echo "  expected metadata version: ${CI_BASE_METADATA_VERSION:-${DEFAULT_CI_BASE_METADATA_VERSION}}"
+            return 1
         fi
 
         echo "Remote image exists but does not have the expected ci_base content hash."
@@ -1616,7 +1795,10 @@ seed_dependency_caches_if_needed() {
 
         echo "--- :docker: Seeding ${target}"
         echo "Expected cache ref: ${cache_ref}"
-        docker buildx bake "${BAKE_FILES[@]}" --progress plain "${target}"
+        docker buildx bake \
+            "${BAKE_FILES[@]}" \
+            --progress "${BUILDKIT_PROGRESS:-plain}" \
+            "${target}"
         verify_dependency_cache_ref "${cache_ref}"
     done
 }
@@ -1644,7 +1826,10 @@ run_bake() {
     local build_rc=0
 
     echo "--- :docker: Building ${TARGET}"
-    docker buildx bake "${BAKE_FILES[@]}" --progress plain "${BAKE_TARGETS[@]}" || build_rc=$?
+    docker buildx bake \
+        "${BAKE_FILES[@]}" \
+        --progress "${BUILDKIT_PROGRESS:-plain}" \
+        "${BAKE_TARGETS[@]}" || build_rc=$?
 
     if [[ ${build_rc} -eq 0 ]]; then
         echo "--- :white_check_mark: Build complete"
@@ -1724,15 +1909,16 @@ main() {
     print_header
     validate_inputs
     load_ci_hcl
+    init_bake_files
     compute_ci_base_hash_if_needed
     configure_ci_base_image_refs
     maybe_skip_existing_image
     setup_builder
     prepare_git_cache_metadata
-    write_ci_base_label_override
     extract_dependency_pins
     write_rocm_build_arg_override
     compute_dependency_cache_keys
+    write_ci_base_label_override
     compute_rocm_csrc_content_hash_if_needed
     write_rocm_cache_override
     resolve_ci_base_dependency_targets

.buildkite/scripts/ci-clean-log.sh

@@ -13,5 +13,8 @@ INPUT_FILE="$1"
 # Strip timestamps
 sed -i 's/^\[[0-9]\{4\}-[0-9]\{2\}-[0-9]\{2\}T[0-9]\{2\}:[0-9]\{2\}:[0-9]\{2\}Z\] //' "$INPUT_FILE"
 
+# Strip Buildkite inline timestamp markers (ESC _bk;t=<ms> BEL)
+sed -i 's/\x1B_bk;t=[0-9]*\x07//g' "$INPUT_FILE"
+
 # Strip colorization
 sed -i -r 's/\x1B\[[0-9;]*[mK]//g' "$INPUT_FILE"

.buildkite/scripts/ci-fetch-log.sh

@@ -1,74 +1,178 @@
 #!/bin/bash
-# Usage: ./ci-fetch-log.sh <buildkite_job_url> [output_file]
-#        ./ci-fetch-log.sh <build_number> <job_uuid> [output_file]
+# Fetch vLLM Buildkite CI logs (public; no login required).
 #
-# Downloads the raw log for a Buildkite job from the public, unauthenticated
-# /organizations/<org>/pipelines/<pipeline>/builds/<n>/jobs/<uuid>/download
-# endpoint, then strips ANSI/timestamps via ci-clean-log.sh.
+# Usage:
+#   ci-fetch-log.sh [--soft|--all] --pr [<PR>]  failed jobs in the PR's latest
+#                                               build (current branch if omitted)
+#   ci-fetch-log.sh [--soft|--all] <build_url>  failed jobs in that build
+#   ci-fetch-log.sh <job_url> [output]          one job; both #<job_uuid> and
+#                                               ?sid=<id> URL forms work
+#   ci-fetch-log.sh <build> <job_uuid> [output]
 #
-# Find <build_number> and <job_uuid> via:
-#   gh pr checks <PR> --repo vllm-project/vllm
-# Each failing row's URL is .../builds/<build_number>#<job_uuid>.
-#
-# Default output path: ci-<build>-<uuid_first_13_chars>.log (e.g.
-# ci-68478-019e6b07-daae.log). Jobs in the same build share the UUID's
-# first 8 chars, so the second segment is needed for uniqueness when
-# fetching multiple jobs in parallel. The script refuses to overwrite an
-# existing output file; pass an explicit path or set CI_FETCH_LOG_FORCE=1
-# to override.
+# --soft also fetches soft-failed jobs; --all fetches every finished job.
+# Saves each log as ci-<build>-<job-name>.log (ANSI/timestamps stripped) and
+# prints "<file>\t<job name>" per job. [output] is single-job only; "-"
+# streams to stdout. Existing files are kept; CI_FETCH_LOG_FORCE=1 refetches.
 
 set -euo pipefail
 
 ORG="vllm"
 PIPELINE="ci"
+UA="vllm-ci-fetch-log"
+UUID_RE='[0-9a-f]{8}-[0-9a-f]{4}-[0-9a-f]{4}-[0-9a-f]{4}-[0-9a-f]{12}'
 
 usage() {
-    echo "Usage: $0 <buildkite_job_url> [output_file]"
-    echo "       $0 <build_number> <job_uuid> [output_file]"
+    sed -n '2,15p' "$0" | sed 's/^# \{0,1\}//'
     exit 1
 }
 
-if [ $# -lt 1 ]; then usage; fi
+die() {
+    echo "$1" >&2
+    exit 1
+}
 
-if [[ "$1" == https://* ]]; then
+BUILD="" JOB="" SID="" OUT=""
+SCOPE="failed"
+
+while :; do
+    case "${1:-}" in
+    --soft) SCOPE="soft" ;;
+    --all) SCOPE="all" ;;
+    *) break ;;
+    esac
+    shift
+done
+
+case "${1:-}" in
+--pr)
+    PR="${2:-}"
+    # gh pr checks exits non-zero when checks are failing; that is the
+    # expected case here.
+    URL=$(gh pr checks ${PR:+"$PR"} --repo vllm-project/vllm 2>/dev/null |
+        grep -oE "https://buildkite.com/${ORG}/${PIPELINE}/builds/[0-9]+" |
+        sort -t/ -k7 -n | tail -1 || true)
+    [ -n "$URL" ] || die "No Buildkite build found via: gh pr checks ${PR:-<current branch>}"
+    BUILD="${URL##*/}"
+    ;;
+https://*)
     BUILD=$(echo "$1" | sed -nE 's#.*/builds/([0-9]+).*#\1#p')
-    JOB=$(echo "$1" | grep -oE '[0-9a-f]{8}-[0-9a-f-]+' | head -n 1)
+    JOB=$(echo "$1" | grep -oE "#${UUID_RE}" | head -n 1 | cut -c2- || true)
+    SID=$(echo "$1" | grep -oE "[?&]sid=${UUID_RE}" | head -n 1 | sed 's/.*sid=//' || true)
     OUT="${2:-}"
-else
-    if [ $# -lt 2 ]; then usage; fi
+    [ -n "$BUILD" ] || die "Could not parse build number from: $1"
+    ;;
+[0-9]*)
+    [ $# -ge 2 ] || usage
     BUILD="$1"
     JOB="$2"
     OUT="${3:-}"
-fi
-
-if [ -z "$BUILD" ] || [ -z "$JOB" ]; then
-    echo "Could not parse build number or job UUID from: $1" >&2
+    ;;
+*)
     usage
-fi
-
-# Jobs in the same build share the UUID's first segment, so include the
-# second segment (chars 9-13, e.g. "019e6b07-daae") to keep default filenames
-# unique when fetching multiple jobs from one build in parallel.
-if [ -z "$OUT" ]; then
-    OUT="ci-${BUILD}-${JOB:0:13}.log"
-fi
-
-if [ -e "$OUT" ] && [ -z "${CI_FETCH_LOG_FORCE:-}" ]; then
-    echo "Refusing to overwrite existing $OUT (set CI_FETCH_LOG_FORCE=1 or pass an explicit output path)." >&2
-    exit 1
-fi
+    ;;
+esac
 
 COOKIES=$(mktemp)
-trap 'rm -f "$COOKIES"' EXIT
+JOBS_TSV=$(mktemp)
+trap 'rm -f "$COOKIES" "$JOBS_TSV"' EXIT
 
-# Buildkite issues a session cookie on first hit; subsequent /download needs it.
-curl -fsSL -c "$COOKIES" -A "vllm-ci-fetch-log" \
+# Buildkite issues a session cookie on first hit; later requests need it.
+curl -fsSL -c "$COOKIES" -A "$UA" \
     "https://buildkite.com/${ORG}/${PIPELINE}/builds/${BUILD}" -o /dev/null
 
-curl -fsSL -b "$COOKIES" -A "vllm-ci-fetch-log" \
-    "https://buildkite.com/organizations/${ORG}/pipelines/${PIPELINE}/builds/${BUILD}/jobs/${JOB}/download" \
-    -o "$OUT"
+# The build's job list (id, step uuid, state, name) is served as JSON from
+# the user-facing /data/jobs endpoint. Flatten it to TSV for easy filtering:
+#   job_id  step_uuid  failed  soft_failed  finished  slug  name
+curl -fsSL -b "$COOKIES" -A "$UA" \
+    "https://buildkite.com/${ORG}/${PIPELINE}/builds/${BUILD}/data/jobs" |
+    python3 -c '
+import json, re, sys
 
-bash "$(dirname "$0")/ci-clean-log.sh" "$OUT"
+data = json.load(sys.stdin)
+if data.get("has_next_page"):
+    print("warning: job list is paginated; some jobs not shown", file=sys.stderr)
+for r in data["records"]:
+    if r.get("type") != "script":
+        continue
+    name = (r.get("name") or "").replace("\t", " ").replace("\n", " ")
+    slug = re.sub(r"[^a-z0-9]+", "-", name.lower()).strip("-")[:60]
+    print("\t".join([
+        r["id"],
+        r.get("step_uuid") or "",
+        str(r.get("passed") is False),
+        str(bool(r.get("soft_failed"))),
+        str(bool(r.get("finished_at"))),
+        slug,
+        name,
+    ]))
+' >"$JOBS_TSV" || die "Could not list jobs for build ${BUILD}"
 
-echo "$OUT"
+if [ -n "$SID" ] && [ -z "$JOB" ]; then
+    # The ?sid= in builds/<N>/list URLs is the *step* uuid, not the job uuid.
+    JOB=$(awk -F'\t' -v s="$SID" '$1 == s || $2 == s {print $1; exit}' "$JOBS_TSV")
+    [ -n "$JOB" ] || die "No job matching sid=${SID} in build ${BUILD}"
+fi
+
+fetch_job() { # <job_uuid> <output_file>
+    curl -fsSL -b "$COOKIES" -A "$UA" \
+        "https://buildkite.com/organizations/${ORG}/pipelines/${PIPELINE}/builds/${BUILD}/jobs/$1/download" \
+        -o "$2"
+    bash "$(dirname "$0")/ci-clean-log.sh" "$2"
+}
+
+if [ -n "$JOB" ]; then
+    # Single-job mode.
+    NAME=$(awk -F'\t' -v j="$JOB" '$1 == j {print $7; exit}' "$JOBS_TSV")
+    SLUG=$(awk -F'\t' -v j="$JOB" '$1 == j {print $6; exit}' "$JOBS_TSV")
+    [ -n "$OUT" ] || OUT="ci-${BUILD}-${SLUG:-${JOB:0:13}}.log"
+    if [ "$OUT" = "-" ]; then
+        TMP=$(mktemp)
+        fetch_job "$JOB" "$TMP"
+        cat "$TMP"
+        rm -f "$TMP"
+        exit 0
+    fi
+    if [ -e "$OUT" ] && [ -z "${CI_FETCH_LOG_FORCE:-}" ]; then
+        die "Refusing to overwrite existing ${OUT} (set CI_FETCH_LOG_FORCE=1 or pass an output path)."
+    fi
+    fetch_job "$JOB" "$OUT"
+    printf '%s\t%s\n' "$OUT" "${NAME:-$JOB}"
+    exit 0
+fi
+
+# Build-wide mode: fetch finished jobs matching $SCOPE.
+[ -z "$OUT" ] || die "[output_file] is only valid when fetching a single job."
+
+case "$SCOPE" in
+failed) FILTER='$3 == "True" && $4 == "False" && $5 == "True"' ;;
+soft) FILTER='$3 == "True" && $5 == "True"' ;;
+all) FILTER='$5 == "True"' ;;
+esac
+
+if [ "$SCOPE" = "failed" ]; then
+    SOFT=$(awk -F'\t' '$3 == "True" && $4 == "True"' "$JOBS_TSV" | wc -l)
+    [ "$SOFT" -eq 0 ] || echo "Skipping ${SOFT} soft-failed job(s); use --soft to include them." >&2
+fi
+
+FOUND=0
+EMITTED=" "
+while IFS=$'\t' read -r job_id _ _ _ _ slug name; do
+    FOUND=$((FOUND + 1))
+    out="ci-${BUILD}-${slug:-${job_id:0:13}}.log"
+    # Retries share a name with the original job; disambiguate by uuid.
+    case "$EMITTED" in
+    *" $out "*) out="ci-${BUILD}-${slug:-job}-${job_id:0:13}.log" ;;
+    esac
+    EMITTED="${EMITTED}${out} "
+    if [ -e "$out" ] && [ -z "${CI_FETCH_LOG_FORCE:-}" ]; then
+        echo "Keeping existing ${out} (set CI_FETCH_LOG_FORCE=1 to refetch)." >&2
+    elif ! fetch_job "$job_id" "$out"; then
+        echo "Failed to download log for job ${job_id} (${name})." >&2
+        continue
+    fi
+    printf '%s\t%s\n' "$out" "$name"
+done < <(awk -F'\t' "$FILTER" "$JOBS_TSV")
+
+if [ "$FOUND" -eq 0 ]; then
+    echo "No matching jobs in build ${BUILD} (scope: ${SCOPE})." >&2
+fi

.buildkite/scripts/hardware_ci/run-amd-test.sh

@@ -28,6 +28,17 @@
 ###############################################################################
 set -o pipefail
 
+: "${BUILDKIT_PROGRESS:=plain}"
+: "${TERM:=xterm-256color}"
+: "${FORCE_COLOR:=1}"
+: "${CLICOLOR_FORCE:=1}"
+: "${PY_COLORS:=1}"
+: "${ROCM_DOCKER_TTY:=1}"
+if [[ " ${PYTEST_ADDOPTS:-} " != *" --color"* ]]; then
+  PYTEST_ADDOPTS="${PYTEST_ADDOPTS:+${PYTEST_ADDOPTS} }--color=yes"
+fi
+export BUILDKIT_PROGRESS TERM FORCE_COLOR CLICOLOR_FORCE PY_COLORS PYTEST_ADDOPTS ROCM_DOCKER_TTY
+
 # Export Python path for commands that run directly on the host. Containerized
 # tests set this to /vllm-workspace below so spawned Python processes do not
 # depend on their current working directory.
@@ -149,6 +160,7 @@ EOF
   echo "--- Building local ROCm test image"
   docker build \
     --pull=false \
+    --progress "${BUILDKIT_PROGRESS}" \
     --build-arg "BASE_IMAGE=${base_image}" \
     -t "${artifact_image}" \
     "${context_dir}" || return 1
@@ -367,6 +379,20 @@ remove_docker_container() {
 }
 trap remove_docker_container EXIT
 
+# python_only_compile.sh runs `python setup.py develop` and needs the full repo tree
+# under /vllm-workspace (Dockerfile.rocm test stage: mkdir src && mv vllm).
+# The ROCm wheel artifact tarball only ships a thin tree (tests, etc.), so
+# artifact images cannot satisfy that test — use the full rocm/vllm-ci image.
+_cmd_probe="${VLLM_TEST_COMMANDS:-}"
+if [[ -z "${_cmd_probe}" ]]; then
+  _cmd_probe="$*"
+fi
+if [[ "${VLLM_CI_USE_ARTIFACTS:-0}" == "1" && "${_cmd_probe}" == *python_only_compile.sh* ]]; then
+  echo "INFO: disabling VLLM_CI_USE_ARTIFACTS for python_only_compile (requires full /vllm-workspace tree)"
+  export VLLM_CI_USE_ARTIFACTS=0
+fi
+unset -v _cmd_probe
+
 if ! prepare_artifact_image; then
   echo "Using full ROCm CI image: ${image_name}"
   docker pull "${image_name}" || exit 1
@@ -426,6 +452,26 @@ fi
 
 echo "Final commands: $commands"
 
+# The ROCm test image often ships /vllm-workspace without .git (artifact tarball unpack).
+# tests/standalone_tests/python_only_compile.sh uses merge-base(HEAD, origin/main) for
+# wheels.vllm.ai; compute on the agent (full git checkout) and pass into the container.
+vllm_standalone_merge_base=""
+checkout="${BUILDKITE_BUILD_CHECKOUT_PATH:-}"
+if [[ -z "${checkout}" || ! -d "${checkout}" ]]; then
+  checkout="."
+fi
+# Pass safe.directory per-command (-c) because buildkite runs will always fail
+# the next check on git 2.35.2+ due to mixed uses of root and buildkite-agent/uids.
+if git -c "safe.directory=${checkout}" -C "${checkout}" rev-parse --is-inside-work-tree >/dev/null 2>&1; then
+  vllm_standalone_merge_base="$(
+    git -c "safe.directory=${checkout}" -C "${checkout}" merge-base HEAD origin/main 2>/dev/null || true
+  )"
+fi
+if [[ -z "${vllm_standalone_merge_base}" ]]; then
+  vllm_standalone_merge_base="${BUILDKITE_COMMIT:-}"
+fi
+echo "INFO: passing VLLM_STANDALONE_MERGE_BASE into container: ${vllm_standalone_merge_base}"
+
 MYPYTHONPATH="/vllm-workspace"
 
 container_job_id="${BUILDKITE_JOB_ID:-${BUILDKITE_PARALLEL_JOB:-0}}"
@@ -501,14 +547,37 @@ if is_multi_node "$commands"; then
 else
   echo "--- Single-node job"
   echo "Render devices: $BUILDKITE_AGENT_META_DATA_RENDER_DEVICES"
+  docker_run_terminal_args=(-i)
+  if [[ "${ROCM_DOCKER_TTY}" == "1" ]]; then
+    docker_run_terminal_args+=(-t)
+    echo "Docker interactive stdin: enabled; TTY allocation: enabled"
+  else
+    echo "Docker interactive stdin: enabled; TTY allocation: disabled"
+  fi
+
+  ulimit_core_hard=$(ulimit -H -c)
+  if [[ "$ulimit_core_hard" == "unlimited" ]]; then
+    # docker run can't pass "unlimited" to --ulimit
+    ulimit_core_hard="-1"
+  fi
+   # Disable core dumps in the ROCm test container unless the ROCm debug agent is enabled
+  coredump_flags="--ulimit core=0:$ulimit_core_hard"
+  if [[ "$commands" == *"ROCm debug agent enabled"* ]]; then
+    # Works around https://github.com/rocm/rocm-systems/issues/6206
+    coredump_flags='-e HSA_COREDUMP_PATTERN="/tmp/gpucore.%p"'
+  else
+    echo "ROCm debug agent not enabled, coredumps are disabled in the test container."
+  fi
 
   docker run \
+    "${docker_run_terminal_args[@]}" \
     --device /dev/kfd $BUILDKITE_AGENT_META_DATA_RENDER_DEVICES \
     $RDMA_FLAGS \
     --network=host \
     --shm-size=16gb \
     --group-add "$render_gid" \
     --rm \
+    $coredump_flags \
     -e HF_TOKEN \
     -e "HF_HUB_DOWNLOAD_TIMEOUT=${HF_HUB_DOWNLOAD_TIMEOUT}" \
     -e "HF_HUB_ETAG_TIMEOUT=${HF_HUB_ETAG_TIMEOUT}" \
@@ -516,6 +585,11 @@ else
     -e AWS_SECRET_ACCESS_KEY \
     -e BUILDKITE_PARALLEL_JOB \
     -e BUILDKITE_PARALLEL_JOB_COUNT \
+    -e TERM \
+    -e FORCE_COLOR \
+    -e CLICOLOR_FORCE \
+    -e PY_COLORS \
+    -e PYTEST_ADDOPTS \
     -v "${HF_CACHE}:${HF_MOUNT}" \
     -e "HF_HOME=${HF_MOUNT}" \
     -e "PYTHONPATH=${MYPYTHONPATH}" \
@@ -525,6 +599,7 @@ else
     -e "VLLM_CACHE_ROOT=${CONTAINER_CACHE_ROOT}/vllm" \
     -e "XDG_CACHE_HOME=${CONTAINER_CACHE_ROOT}/xdg" \
     -e "PYTORCH_ROCM_ARCH=" \
+    -e "VLLM_STANDALONE_MERGE_BASE=${vllm_standalone_merge_base}" \
     --name "${container_name}" \
     "${image_name}" \
     /bin/bash -c "${CONTAINER_PREFLIGHT} && ${commands}"

.buildkite/scripts/hardware_ci/run-cpu-test-arm.sh

@@ -8,7 +8,7 @@ set -ex
 CORE_RANGE=${CORE_RANGE:-0-31}
 OMP_CORE_RANGE=${OMP_CORE_RANGE:-0-31}
 
-export CMAKE_BUILD_PARALLEL_LEVEL=16
+export CMAKE_BUILD_PARALLEL_LEVEL=32
 
 # Setup cleanup
 remove_docker_container() {
@@ -37,8 +37,10 @@ function cpu_tests() {
     pytest -x -v -s tests/kernels/test_onednn.py
     pytest -x -v -s tests/kernels/attention/test_cpu_attn.py
     pytest -x -v -s tests/kernels/core/test_cpu_activation.py
-    pytest -x -v -s tests/kernels/moe/test_moe.py -k test_cpu_fused_moe_basic
-    pytest -x -v -s tests/kernels/mamba/cpu/test_cpu_gdn_ops.py"
+    pytest -x -v -s tests/kernels/moe/test_cpu_fused_moe.py
+    pytest -x -v -s tests/kernels/mamba/cpu/test_cpu_gdn_ops.py
+    pytest -x -v -s tests/kernels/moe/test_cpu_int4_moe.py
+    pytest -x -v -s tests/kernels/mamba/test_cpu_short_conv.py"
 
   # skip tests requiring model downloads if HF_TOKEN is not set
   # due to rate-limits
@@ -62,7 +64,6 @@ function cpu_tests() {
     set -e
     pytest -x -v -s tests/quantization/test_compressed_tensors.py::test_compressed_tensors_w8a8_logprobs"
 
-
   # basic online serving
   docker exec cpu-test bash -c '
     set -e

.buildkite/scripts/hardware_ci/run-cpu-test.sh

@@ -7,10 +7,49 @@ set -euox pipefail
 # allow to bind to different cores
 CORE_RANGE=${CORE_RANGE:-48-95}
 NUMA_NODE=${NUMA_NODE:-1}
-IMAGE_NAME="cpu-test-$NUMA_NODE"
+AGENT_SLOT=${AGENT_SLOT:-}
+IMAGE_NAME="cpu-test-${NUMA_NODE}${AGENT_SLOT:+-${AGENT_SLOT}}"
 TIMEOUT_VAL=$1
 TEST_COMMAND=$2
 
+# Disk hygiene knobs. Reclaim space only once the Docker root filesystem crosses
+# DISK_USAGE_THRESHOLD percent, and cap the shared BuildKit cache at
+# BUILDKIT_CACHE_MAX so subsequent builds keep reusing the hottest layers.
+DISK_USAGE_THRESHOLD=${DISK_USAGE_THRESHOLD:-70}
+BUILDKIT_CACHE_MAX=${BUILDKIT_CACHE_MAX:-80GB}
+
+# Reclaim disk only when the host is under pressure. We trim (not purge) the
+# shared BuildKit cache so cross-job/cross-agent reuse stays intact, and only
+# touch dangling images; other agents' uniquely tagged images are left alone.
+prune_if_disk_pressure() {
+    local docker_root disk_usage
+    docker_root=$(docker info -f '{{.DockerRootDir}}' 2>/dev/null || true)
+    if [ -z "$docker_root" ]; then
+        return 0
+    fi
+    disk_usage=$(df "$docker_root" 2>/dev/null | tail -1 | awk '{print $5}' | tr -d '%')
+    if [ "${disk_usage:-0}" -gt "$DISK_USAGE_THRESHOLD" ]; then
+        echo "--- :broom: Disk usage ${disk_usage}% exceeds ${DISK_USAGE_THRESHOLD}%, reclaiming space"
+        docker image prune -f || true
+        docker builder prune -f --keep-storage="$BUILDKIT_CACHE_MAX" || true
+    else
+        echo "Disk usage ${disk_usage:-unknown}% within ${DISK_USAGE_THRESHOLD}% threshold; skipping prune"
+    fi
+}
+
+# Always drop this agent's image once the job ends (the default builder never
+# uses it as a cache source, so removing it costs no rebuild speed), then
+# reclaim space if needed. Guard every docker call with `|| true` so the trap
+# never overrides the test's exit code.
+cleanup() {
+    docker image rm -f "$IMAGE_NAME" || true
+    prune_if_disk_pressure
+}
+trap cleanup EXIT
+
+# Free space up front so a nearly-full host doesn't fail the build.
+prune_if_disk_pressure
+
 # building the docker image
 echo "--- :docker: Building Docker image"
 docker build --progress plain --tag "$IMAGE_NAME" --target vllm-test -f docker/Dockerfile.cpu .

.buildkite/scripts/hardware_ci/run-intel-ci-test.sh

@@ -0,0 +1,52 @@
+#!/bin/bash
+
+set -euo pipefail
+
+test_suite="${1:-}"
+
+if [[ -z "${test_suite}" ]]; then
+  echo "Usage: $0 <example|v1|server>" >&2
+  exit 1
+fi
+
+case "${test_suite}" in
+  example)
+    pip install tblib==3.1.0
+
+    python3 examples/basic/offline_inference/generate.py --model facebook/opt-125m --block-size 64 --enforce-eager
+    python3 examples/basic/offline_inference/generate.py --model facebook/opt-125m --block-size 64 -O3 -cc.cudagraph_mode=NONE
+    python3 examples/basic/offline_inference/generate.py --model facebook/opt-125m --block-size 64 --enforce-eager -tp 2 --distributed-executor-backend mp
+    python3 examples/basic/offline_inference/generate.py --model facebook/opt-125m --block-size 64 --enforce-eager --attention-backend=TRITON_ATTN
+    python3 examples/basic/offline_inference/generate.py --model facebook/opt-125m --block-size 64 --enforce-eager --quantization fp8
+    python3 examples/basic/offline_inference/generate.py --model facebook/opt-125m --block-size 64 --enforce-eager --kv-cache-dtype fp8
+    python3 examples/basic/offline_inference/generate.py --model nvidia/Llama-3.1-8B-Instruct-FP8 --block-size 64 --enforce-eager --quantization modelopt --kv-cache-dtype fp8 --attention-backend TRITON_ATTN --max-model-len 4096
+    python3 examples/basic/offline_inference/generate.py --model superjob/Qwen3-4B-Instruct-2507-GPTQ-Int4 --block-size 64 --enforce-eager --max-model-len 8192
+    python3 examples/basic/offline_inference/generate.py --model TheBloke/TinyLlama-1.1B-Chat-v0.3-AWQ --block-size 64 --enforce-eager 
+    python3 examples/basic/offline_inference/generate.py --model ibm-research/PowerMoE-3b --block-size 64 --enforce-eager -tp 2
+    python3 examples/basic/offline_inference/generate.py --model ibm-research/PowerMoE-3b --block-size 64 --enforce-eager -tp 2 --enable-expert-parallel
+    python3 examples/basic/offline_inference/generate.py --model superjob/Qwen3-4B-Instruct-2507-GPTQ-Int4 --max-model-len 8192
+    ;;
+  v1)
+    cd tests
+
+    pytest -v -s v1/core --ignore=v1/core/test_reset_prefix_cache_e2e.py --ignore=v1/core/test_scheduler_e2e.py
+    pytest -v -s v1/engine --ignore=v1/engine/test_output_processor.py
+    pytest -v -s v1/sample --ignore=v1/sample/test_logprobs.py --ignore=v1/sample/test_logprobs_e2e.py -k "not test_topk_only and not test_topp_only and not test_topk_and_topp"
+    pytest -v -s v1/worker --ignore=v1/worker/test_gpu_model_runner.py --ignore=v1/worker/test_worker_memory_snapshot.py
+    pytest -v -s v1/structured_output
+    pytest -v -s v1/test_serial_utils.py
+    pytest -v -s v1/spec_decode --ignore=v1/spec_decode/test_max_len.py --ignore=v1/spec_decode/test_speculators_eagle3.py --ignore=v1/spec_decode/test_acceptance_length.py --ignore=v1/spec_decode/test_speculators_correctness.py
+    pytest -v -s v1/kv_connector/unit --ignore=v1/kv_connector/unit/test_multi_connector.py --ignore=v1/kv_connector/unit/test_example_connector.py --ignore=v1/kv_connector/unit/test_lmcache_integration.py --ignore=v1/kv_connector/unit/test_hf3fs_client.py --ignore=v1/kv_connector/unit/test_hf3fs_connector.py --ignore=v1/kv_connector/unit/test_hf3fs_metadata_server.py --ignore=v1/kv_connector/unit/test_offloading_connector.py
+    ;;
+  server)
+    pip install av
+    cd tests
+
+    pytest -v -s entrypoints/multimodal/openai/chat_completion/test_audio_in_video.py
+    pytest -v -s benchmarks/test_serve_cli.py
+    ;;
+  *)
+    echo "Unknown Intel test suite: ${test_suite}" >&2
+    exit 1
+    ;;
+esac

.buildkite/scripts/hardware_ci/run-intel-test.sh

@@ -243,8 +243,10 @@ container_name="xpu_${BUILDKITE_COMMIT}_$(tr -dc A-Za-z0-9 < /dev/urandom | head
 
 # ---- Command source selection ----
 commands=""
+commands_source=""
 if [[ -n "${VLLM_TEST_COMMANDS:-}" ]]; then
   commands="${VLLM_TEST_COMMANDS}"
+  commands_source="env"
   echo "Commands sourced from VLLM_TEST_COMMANDS (quoting preserved)"
 elif [[ $# -gt 0 ]]; then
   all_yaml=true
@@ -303,8 +305,12 @@ if [[ -z "$commands" ]]; then
 fi
 
 echo "Raw commands: $commands"
-commands=$(re_quote_pytest_markers "$commands")
-echo "After re-quoting: $commands"
+if [[ "$commands_source" != "env" ]]; then
+  commands=$(re_quote_pytest_markers "$commands")
+  echo "After re-quoting: $commands"
+else
+  echo "Skipping re-quoting for VLLM_TEST_COMMANDS input"
+fi
 commands=$(apply_intel_test_overrides "$commands")
 echo "Final commands: $commands"
 
@@ -324,23 +330,6 @@ IMAGE="${IMAGE_TAG_XPU:-${image_name}}"
 
 echo "Using image: ${IMAGE}"
 
-if docker image inspect "${IMAGE}" >/dev/null 2>&1; then
-  echo "Image already exists locally, skipping pull"
-else
-  echo "Image not found locally, waiting for lock..."
-
-  flock /tmp/docker-pull.lock bash -c "
-    if docker image inspect '${IMAGE}' >/dev/null 2>&1; then
-      echo 'Image already pulled by another runner'
-    else
-      echo 'Pulling image...'
-      timeout 900 docker pull '${IMAGE}'
-    fi
-  "
-
-  echo "Pull step completed"
-fi
-
 remove_docker_container() {
   docker rm -f "${container_name}" || true
 }
@@ -357,9 +346,12 @@ export HF_TOKEN ZE_AFFINITY_MASK
 
 {
   flock 9
-  if ! docker image inspect "${IMAGE}" >/dev/null 2>&1; then
-    echo 'Image missing before container creation, pulling again...'
+  if docker image inspect "${IMAGE}" >/dev/null 2>&1; then
+    echo "Image already exists locally, skipping pull"
+  else
+    echo "Image not found locally, pulling image..."
     timeout 900 docker pull "${IMAGE}"
+    echo "Pull step completed"
   fi
 
   docker create \
@@ -368,14 +360,16 @@ export HF_TOKEN ZE_AFFINITY_MASK
     --ipc=host \
     --privileged \
     -v /dev/dri/by-path:/dev/dri/by-path \
-    -v "${HOME}/.cache/huggingface:/root/.cache/huggingface" \
+    -v "/data/huggingface:/root/.cache/huggingface" \
     --entrypoint='' \
     -e HF_TOKEN \
     -e ZE_AFFINITY_MASK \
+    -e BUILDKITE_PARALLEL_JOB \
+    -e BUILDKITE_PARALLEL_JOB_COUNT \
     -e CMDS \
     --name "${container_name}" \
     "${IMAGE}" \
-    bash -c 'set -e; echo "ZE_AFFINITY_MASK is ${ZE_AFFINITY_MASK:-}"; eval "$CMDS"' \
+    bash -c 'set -e; source /opt/intel/oneapi/setvars.sh --force; source /opt/intel/oneapi/ccl/2021.15/env/vars.sh --force; echo "ZE_AFFINITY_MASK is ${ZE_AFFINITY_MASK:-}"; eval "$CMDS"' \
     >/dev/null
 } 9>/tmp/docker-pull.lock
 

.buildkite/scripts/hardware_ci/run-npu-test.sh

@@ -85,7 +85,7 @@ RUN pip config set global.index-url http://cache-service-vllm.nginx-pypi-cache.s
 
 # Install for pytest to make the docker build cache layer always valid
 RUN --mount=type=cache,target=/root/.cache/pip \
-    pip install pytest>=6.0  modelscope
+    pip install pytest>=6.0  'modelscope<1.38'
 
 WORKDIR /workspace/vllm
 

.buildkite/scripts/install-kv-connectors.sh

@@ -4,6 +4,11 @@
 
 set -euo pipefail
 
+if python3 -c "import torch; raise SystemExit(0 if torch.version.hip is not None else 1)"; then
+    uv pip install --system -r /vllm-workspace/requirements/kv_connectors_rocm.txt
+    exit 0
+fi
+
 REQUIREMENTS_FILE="${KV_CONNECTORS_REQUIREMENTS:-/vllm-workspace/requirements/kv_connectors.txt}"
 
 uv pip install --system -r "${REQUIREMENTS_FILE}"

.buildkite/scripts/publish-release-images.sh

@@ -130,6 +130,22 @@ docker tag public.ecr.aws/q9t5s3a7/vllm-release-repo:${ROCM_BASE_CACHE_KEY}-rocm
 docker push vllm/vllm-openai-rocm:latest-base
 docker push vllm/vllm-openai-rocm:v${RELEASE_VERSION}-base
 
+# ---- XPU ----
+
+docker pull public.ecr.aws/q9t5s3a7/vllm-release-repo:${COMMIT}-x86_64-xpu
+
+docker tag public.ecr.aws/q9t5s3a7/vllm-release-repo:${COMMIT}-x86_64-xpu vllm/vllm-openai-xpu:latest-x86_64
+docker tag public.ecr.aws/q9t5s3a7/vllm-release-repo:${COMMIT}-x86_64-xpu vllm/vllm-openai-xpu:v${RELEASE_VERSION}-x86_64
+docker push vllm/vllm-openai-xpu:latest-x86_64
+docker push vllm/vllm-openai-xpu:v${RELEASE_VERSION}-x86_64
+
+docker manifest rm vllm/vllm-openai-xpu:latest || true
+docker manifest rm vllm/vllm-openai-xpu:v${RELEASE_VERSION} || true
+docker manifest create vllm/vllm-openai-xpu:latest vllm/vllm-openai-xpu:latest-x86_64 --amend
+docker manifest create vllm/vllm-openai-xpu:v${RELEASE_VERSION} vllm/vllm-openai-xpu:v${RELEASE_VERSION}-x86_64 --amend
+docker manifest push vllm/vllm-openai-xpu:latest
+docker manifest push vllm/vllm-openai-xpu:v${RELEASE_VERSION}
+
 # ---- CPU ----
 # CPU images are behind separate block steps and may not have been built.
 # All-or-nothing: inspect both arches first, then either publish everything

.buildkite/scripts/rocm/build-ci-base.sh

@@ -0,0 +1,32 @@
+#!/usr/bin/env bash
+# Build the ROCm ci_base image, optionally from a freshly rebuilt ROCm base.
+
+set -euo pipefail
+
+metadata_get() {
+    local key="$1"
+    if command -v buildkite-agent >/dev/null 2>&1; then
+        buildkite-agent meta-data get "${key}" 2>/dev/null || true
+    fi
+}
+
+main() {
+    local base_refreshed=""
+
+    base_refreshed="$(metadata_get rocm-base-refresh)"
+    if [[ "${base_refreshed}" == "1" ]]; then
+        export BASE_IMAGE
+        export CI_BASE_PUSH_STABLE_TAG
+
+        BASE_IMAGE="$(metadata_get rocm-base-image)"
+        CI_BASE_PUSH_STABLE_TAG="$(metadata_get rocm-base-push-stable-tag)"
+        CI_BASE_PUSH_STABLE_TAG="${CI_BASE_PUSH_STABLE_TAG:-0}"
+
+        echo "Using refreshed ROCm base image for ci_base: ${BASE_IMAGE}"
+        echo "Push stable ci_base tag: ${CI_BASE_PUSH_STABLE_TAG}"
+    fi
+
+    bash .buildkite/scripts/ci-bake-rocm.sh ci-base-rocm-ci-with-deps
+}
+
+main "$@"

.buildkite/scripts/rocm/build-test-image.sh

@@ -0,0 +1,57 @@
+#!/usr/bin/env bash
+# Build the ROCm CI test image or wheel artifact.
+#
+# When Dockerfile.rocm_base changes, always build the full image so downstream
+# ROCm tests can validate the freshly rebuilt base -> ci_base -> ci image chain.
+
+set -euo pipefail
+
+metadata_get() {
+    local key="$1"
+    if command -v buildkite-agent >/dev/null 2>&1; then
+        buildkite-agent meta-data get "${key}" 2>/dev/null || true
+    fi
+}
+
+use_refreshed_base_if_present() {
+    local base_refreshed=""
+
+    base_refreshed="$(metadata_get rocm-base-refresh)"
+    if [[ "${base_refreshed}" != "1" ]]; then
+        return 1
+    fi
+
+    export BASE_IMAGE
+    export CI_BASE_IMAGE
+    export IMAGE_TAG_LATEST
+
+    BASE_IMAGE="$(metadata_get rocm-base-image)"
+    CI_BASE_IMAGE="$(metadata_get rocm-ci-base-image)"
+    IMAGE_TAG_LATEST="$(metadata_get rocm-ci-image-descriptive)"
+
+    echo "Using refreshed ROCm base image for test image: ${BASE_IMAGE}"
+    echo "Using refreshed ROCm ci_base image for test image: ${CI_BASE_IMAGE}"
+    if [[ -n "${IMAGE_TAG_LATEST}" ]]; then
+        echo "Also tagging full ROCm CI image as: ${IMAGE_TAG_LATEST}"
+    fi
+
+    return 0
+}
+
+main() {
+    local base_refreshed=0
+
+    if use_refreshed_base_if_present; then
+        base_refreshed=1
+    fi
+
+    if [[ "${ROCM_CI_ARTIFACT_ONLY:-0}" == "1" && "${base_refreshed}" != "1" ]]; then
+        echo "ROCM_CI_ARTIFACT_ONLY=1; building ROCm wheel artifact only"
+        IMAGE_TAG="" bash .buildkite/scripts/ci-bake-rocm.sh test-rocm-ci-with-artifacts
+        return
+    fi
+
+    bash .buildkite/scripts/ci-bake-rocm.sh test-rocm-ci-with-wheel
+}
+
+main "$@"

.buildkite/scripts/rocm/refresh-base-image.sh

@@ -0,0 +1,513 @@
+#!/usr/bin/env bash
+# Build and publish a fresh ROCm base image when Dockerfile.rocm_base changes.
+#
+# Normal AMD CI builds should not pay for this path. The script no-ops unless
+# docker/Dockerfile.rocm_base changed relative to the branch base, the previous
+# main commit, or ROCM_BASE_REFRESH_FORCE=1 is set.
+
+set -euo pipefail
+
+DOCKERFILE="${ROCM_BASE_DOCKERFILE:-docker/Dockerfile.rocm_base}"
+BASE_REPO="${ROCM_BASE_IMAGE_REPO:-rocm/vllm-dev}"
+CI_IMAGE_REPO="${ROCM_CI_IMAGE_REPO:-rocm/vllm-ci}"
+BUILDER_NAME="${ROCM_BASE_BUILDER_NAME:-vllm-rocm-base-builder}"
+DEFAULT_ROCM_BASE_METADATA_VERSION="1"
+DEFAULT_ROCM_BASE_CONTENT_FILES="${DOCKERFILE}"
+DEFAULT_ROCM_BASE_CONTENT_ARGS="BASE_IMAGE TRITON_BRANCH TRITON_REPO PYTORCH_BRANCH PYTORCH_REPO PYTORCH_VISION_BRANCH PYTORCH_VISION_REPO PYTORCH_AUDIO_BRANCH PYTORCH_AUDIO_REPO FA_BRANCH FA_REPO AITER_BRANCH AITER_REPO MORI_BRANCH MORI_REPO PYTORCH_ROCM_ARCH PYTHON_VERSION USE_SCCACHE"
+
+metadata_set() {
+    local key="$1"
+    local value="$2"
+
+    [[ -n "${value}" ]] || return 0
+    if command -v buildkite-agent >/dev/null 2>&1; then
+        buildkite-agent meta-data set "${key}" "${value}" || true
+    fi
+}
+
+compute_content_hash() {
+    local path=""
+    local file=""
+
+    for path in "$@"; do
+        if [[ -d "${path}" ]]; then
+            while IFS= read -r -d '' file; do
+                printf 'file:%s\n' "${file}"
+                sha256sum "${file}"
+            done < <(find "${path}" -type f -print0 | sort -z)
+        elif [[ -f "${path}" ]]; then
+            printf 'file:%s\n' "${path}"
+            sha256sum "${path}"
+        else
+            printf 'missing:%s\n' "${path}"
+        fi
+    done | sha256sum | cut -d' ' -f1
+}
+
+clean_docker_tag() {
+    local input="$1"
+    echo "${input}" | sed 's/[^a-zA-Z0-9._-]/_/g' | cut -c1-128
+}
+
+tag_component() {
+    local input="$1"
+    local max_chars="${2:-24}"
+
+    clean_docker_tag "${input:-unknown}" | cut -c1-"${max_chars}"
+}
+
+extract_arg_default() {
+    local arg_name="$1"
+
+    sed -n -E "s/^[[:space:]]*ARG[[:space:]]+${arg_name}=\"?([^\"[:space:]]+)\"?.*/\\1/p" \
+        "${DOCKERFILE}" | head -1
+}
+
+resolve_image_digest() {
+    local image_ref="$1"
+
+    docker buildx imagetools inspect "${image_ref}" 2>/dev/null \
+        | sed -n -E 's/^Digest:[[:space:]]+//p' \
+        | head -1 || true
+}
+
+resolve_rocm_base_arg_value() {
+    local arg_name="$1"
+    local use_sccache="$2"
+
+    case "${arg_name}" in
+        USE_SCCACHE)
+            printf '%s\n' "${use_sccache}"
+            ;;
+        *)
+            extract_arg_default "${arg_name}"
+            ;;
+    esac
+}
+
+hash_rocm_base_arg_values() {
+    local use_sccache="$1"
+    local base_image_digest="$2"
+    local arg_name=""
+    local arg_value=""
+    shift 2 || true
+
+    for arg_name in "$@"; do
+        [[ -n "${arg_name}" ]] || continue
+        arg_value=$(resolve_rocm_base_arg_value "${arg_name}" "${use_sccache}")
+        printf 'arg:%s=%s\n' "${arg_name}" "${arg_value:-<empty>}"
+        if [[ "${arg_name}" == "BASE_IMAGE" && -n "${arg_value}" ]]; then
+            printf 'arg:%s.digest=%s\n' "${arg_name}" "${base_image_digest:-unknown}"
+        fi
+    done
+}
+
+rocm_version_from_base_image() {
+    local base_image="$1"
+    local version=""
+
+    version="$(sed -n -E 's/.*:([0-9]+\.[0-9]+(\.[0-9]+)?)-.*/\1/p' <<<"${base_image}")"
+    tag_component "${version:-${base_image}}" 16
+}
+
+git_diff_changed_base() {
+    local range="$1"
+    [[ -n "$(git diff --name-only "${range}" -- "${DOCKERFILE}" 2>/dev/null)" ]]
+}
+
+short_git_ref() {
+    local ref="$1"
+
+    git rev-parse --short "${ref}" 2>/dev/null || printf '%s\n' "${ref}"
+}
+
+extract_arg_default_from_ref() {
+    local ref="$1"
+    local arg_name="$2"
+    local content=""
+
+    content="$(git show "${ref}:${DOCKERFILE}" 2>/dev/null || true)"
+    sed -n -E "s/^[[:space:]]*ARG[[:space:]]+${arg_name}=\"?([^\"[:space:]]+)\"?.*/\\1/p" \
+        <<<"${content}" | head -1
+}
+
+log_arg_default_changes() {
+    local old_ref="$1"
+    local new_ref="$2"
+    local content_args="${ROCM_BASE_CONTENT_ARGS:-${DEFAULT_ROCM_BASE_CONTENT_ARGS}}"
+    local arg_name=""
+    local old_value=""
+    local new_value=""
+    local changed=0
+
+    echo "Changed ROCm base ARG defaults:"
+    for arg_name in ${content_args}; do
+        old_value="$(extract_arg_default_from_ref "${old_ref}" "${arg_name}")"
+        new_value="$(extract_arg_default_from_ref "${new_ref}" "${arg_name}")"
+        if [[ "${old_value}" != "${new_value}" ]]; then
+            echo "  - ${arg_name}: ${old_value:-<unset>} -> ${new_value:-<unset>}"
+            changed=1
+        fi
+    done
+
+    if [[ "${changed}" == "0" ]]; then
+        echo "  - none detected; Dockerfile instructions changed outside tracked ARG defaults"
+    fi
+}
+
+log_arg_line_diff() {
+    local range="$1"
+    local arg_diff=""
+
+    arg_diff="$(
+        git diff --unified=0 "${range}" -- "${DOCKERFILE}" 2>/dev/null \
+            | awk '/^[+-][[:space:]]*ARG[[:space:]]/ && $0 !~ /^(---|\+\+\+)/ { print "  " $0 }' \
+            || true
+    )"
+
+    if [[ -n "${arg_diff}" ]]; then
+        echo "Changed Dockerfile ARG lines:"
+        printf '%s\n' "${arg_diff}"
+    fi
+}
+
+log_rocm_base_change_check() {
+    local context="$1"
+    local range="$2"
+    local old_ref="$3"
+    local old_short=""
+    local head_short=""
+
+    old_short="$(short_git_ref "${old_ref}")"
+    head_short="$(short_git_ref HEAD)"
+
+    echo "--- :mag: ROCm base refresh check"
+    echo "Context: ${context}"
+    echo "Dockerfile: ${DOCKERFILE}"
+    echo "Base revision: ${old_short}"
+    echo "Head revision: ${head_short}"
+    echo "Git diff range: ${range}"
+}
+
+log_rocm_base_rebuild_reason() {
+    local context="$1"
+    local range="$2"
+    local old_ref="$3"
+    local changed_files=""
+
+    log_rocm_base_change_check "${context}" "${range}" "${old_ref}"
+
+    changed_files="$(git diff --name-only "${range}" -- "${DOCKERFILE}" 2>/dev/null || true)"
+    echo "Changed files:"
+    if [[ -n "${changed_files}" ]]; then
+        sed 's/^/  - /' <<<"${changed_files}"
+    else
+        echo "  - ${DOCKERFILE}"
+    fi
+    log_arg_default_changes "${old_ref}" HEAD
+    log_arg_line_diff "${range}"
+    echo "Decision: rebuilding ROCm base image because ${DOCKERFILE} changed."
+}
+
+rocm_base_changed_in_range() {
+    local context="$1"
+    local range="$2"
+    local old_ref="$3"
+
+    if git_diff_changed_base "${range}"; then
+        log_rocm_base_rebuild_reason "${context}" "${range}" "${old_ref}"
+        return 0
+    fi
+
+    log_rocm_base_change_check "${context}" "${range}" "${old_ref}"
+    echo "Decision: ROCm base refresh not required; ${DOCKERFILE} is unchanged."
+    return 1
+}
+
+rocm_base_changed() {
+    local base_branch="${BUILDKITE_PULL_REQUEST_BASE_BRANCH:-main}"
+    local base_ref="refs/remotes/origin/${base_branch}"
+    local merge_base=""
+
+    if [[ "${ROCM_BASE_REFRESH_SKIP:-0}" == "1" ]]; then
+        echo "ROCM_BASE_REFRESH_SKIP=1 set; skipping ROCm base refresh"
+        return 1
+    fi
+
+    if [[ "${ROCM_BASE_REFRESH_FORCE:-0}" == "1" ]]; then
+        echo "ROCM_BASE_REFRESH_FORCE=1 set; refreshing ROCm base image"
+        return 0
+    fi
+
+    if ! git rev-parse --is-inside-work-tree >/dev/null 2>&1; then
+        echo "Not in a git checkout; skipping ROCm base refresh unless forced"
+        return 1
+    fi
+
+    if [[ "${BUILDKITE_PULL_REQUEST:-false}" != "false" ]]; then
+        git fetch --no-tags --depth=200 origin \
+            "+refs/heads/${base_branch}:${base_ref}" >/dev/null 2>&1 || true
+        merge_base=$(git merge-base HEAD "${base_ref}" 2>/dev/null || true)
+        if [[ -z "${merge_base}" ]]; then
+            echo "Unable to determine merge base with PR base ${base_ref}; skipping ROCm base refresh unless forced"
+            return 1
+        fi
+        if rocm_base_changed_in_range \
+            "pull request build against ${base_ref}" \
+            "${merge_base}...HEAD" \
+            "${merge_base}"; then
+            return 0
+        fi
+    elif [[ "${BUILDKITE_BRANCH:-}" == "${ROCM_BASE_STABLE_BRANCH:-main}" ]] \
+        && git rev-parse --verify HEAD~1 >/dev/null 2>&1; then
+        if rocm_base_changed_in_range \
+            "stable branch build; comparing against previous ${ROCM_BASE_STABLE_BRANCH:-main} commit" \
+            "HEAD~1..HEAD" \
+            "HEAD~1"; then
+            return 0
+        fi
+    else
+        git fetch --no-tags --depth=200 origin \
+            "+refs/heads/${base_branch}:${base_ref}" >/dev/null 2>&1 || true
+        merge_base=$(git merge-base HEAD "${base_ref}" 2>/dev/null || true)
+        if [[ -z "${merge_base}" ]]; then
+            echo "Unable to determine merge base with branch base ${base_ref}; skipping ROCm base refresh unless forced"
+            return 1
+        fi
+        if rocm_base_changed_in_range \
+            "branch build against ${base_ref}" \
+            "${merge_base}...HEAD" \
+            "${merge_base}"; then
+            return 0
+        fi
+    fi
+
+    return 1
+}
+
+should_push_stable_tag() {
+    if [[ "${BUILDKITE_PULL_REQUEST:-false}" != "false" ]]; then
+        return 1
+    fi
+
+    if [[ "${ROCM_BASE_PUSH_STABLE_TAG:-}" == "1" ]]; then
+        return 0
+    fi
+    if [[ "${ROCM_BASE_PUSH_STABLE_TAG:-}" == "0" ]]; then
+        return 1
+    fi
+
+    [[ "${BUILDKITE_PULL_REQUEST:-false}" == "false" \
+        && "${BUILDKITE_BRANCH:-}" == "${ROCM_BASE_STABLE_BRANCH:-main}" ]]
+}
+
+setup_builder() {
+    echo "--- :buildkite: Setting up buildx builder for ROCm base"
+    if docker buildx inspect "${BUILDER_NAME}" >/dev/null 2>&1; then
+        docker buildx use "${BUILDER_NAME}"
+    else
+        docker buildx create --name "${BUILDER_NAME}" --driver docker-container --use
+    fi
+    docker buildx inspect --bootstrap
+}
+
+compute_base_content_hash() {
+    local use_sccache="$1"
+    local base_image_digest="$2"
+    local content_files="${ROCM_BASE_CONTENT_FILES:-${DEFAULT_ROCM_BASE_CONTENT_FILES}}"
+    local content_args="${ROCM_BASE_CONTENT_ARGS:-${DEFAULT_ROCM_BASE_CONTENT_ARGS}}"
+    local -a content_paths=()
+    local -a content_arg_names=()
+
+    read -r -a content_paths <<< "${content_files}"
+    read -r -a content_arg_names <<< "${content_args}"
+
+    {
+        printf 'content-files-hash:%s\n' "$(compute_content_hash "${content_paths[@]}")"
+        printf 'dockerfile:%s\n' "${DOCKERFILE}"
+        printf 'resolved-build-args:\n'
+        hash_rocm_base_arg_values \
+            "${use_sccache}" "${base_image_digest}" "${content_arg_names[@]}"
+    } | sha256sum | cut -d' ' -f1
+}
+
+build_base_image() {
+    local use_sccache="${ROCM_BASE_USE_SCCACHE:-${USE_SCCACHE:-0}}"
+    local base_hash=""
+    local build_date=""
+    local build_suffix=""
+    local base_image_arg=""
+    local base_image_digest=""
+    local rocm_version=""
+    local triton_arg=""
+    local pytorch_arg=""
+    local pytorch_vision_arg=""
+    local pytorch_audio_arg=""
+    local fa_arg=""
+    local aiter_arg=""
+    local mori_arg=""
+    local python_version_arg=""
+    local pytorch_rocm_arch_arg=""
+    local pytorch_branch=""
+    local aiter_branch=""
+    local dependency_summary=""
+    local descriptor=""
+    local ci_descriptor=""
+    local descriptive_tag=""
+    local stable_tag="${BASE_REPO}:base"
+    local ci_descriptive_tag=""
+    local content_files="${ROCM_BASE_CONTENT_FILES:-${DEFAULT_ROCM_BASE_CONTENT_FILES}}"
+    local content_args="${ROCM_BASE_CONTENT_ARGS:-${DEFAULT_ROCM_BASE_CONTENT_ARGS}}"
+    local content_files_hash=""
+    local metadata_version="${ROCM_BASE_METADATA_VERSION:-${DEFAULT_ROCM_BASE_METADATA_VERSION}}"
+    local -a tags=()
+    local -a no_cache_args=()
+    local -a sccache_args=()
+    local -a content_paths=()
+
+    if [[ ! -f "${DOCKERFILE}" ]]; then
+        echo "Error: ROCm base Dockerfile not found: ${DOCKERFILE}" >&2
+        exit 1
+    fi
+
+    build_date="${ROCM_BASE_TAG_DATE:-$(date -u +%Y%m%d)}"
+    if [[ -n "${BUILDKITE_BUILD_NUMBER:-}" ]]; then
+        build_suffix="_bk_${BUILDKITE_BUILD_NUMBER}"
+    fi
+    base_image_arg="$(extract_arg_default BASE_IMAGE)"
+    base_image_digest="$(resolve_image_digest "${base_image_arg}")"
+    read -r -a content_paths <<< "${content_files}"
+    content_files_hash="$(compute_content_hash "${content_paths[@]}")"
+    base_hash=$(compute_base_content_hash "${use_sccache}" "${base_image_digest}")
+    rocm_version="$(rocm_version_from_base_image "${base_image_arg}")"
+    triton_arg="$(extract_arg_default TRITON_BRANCH)"
+    pytorch_arg="$(extract_arg_default PYTORCH_BRANCH)"
+    pytorch_vision_arg="$(extract_arg_default PYTORCH_VISION_BRANCH)"
+    pytorch_audio_arg="$(extract_arg_default PYTORCH_AUDIO_BRANCH)"
+    fa_arg="$(extract_arg_default FA_BRANCH)"
+    aiter_arg="$(extract_arg_default AITER_BRANCH)"
+    mori_arg="$(extract_arg_default MORI_BRANCH)"
+    python_version_arg="$(extract_arg_default PYTHON_VERSION)"
+    pytorch_rocm_arch_arg="$(extract_arg_default PYTORCH_ROCM_ARCH)"
+    pytorch_branch="$(tag_component "${pytorch_arg}" 16)"
+    aiter_branch="$(tag_component "${aiter_arg}" 24)"
+    dependency_summary="base=${base_image_arg},rocm=${rocm_version},python=${python_version_arg},pytorch=${pytorch_arg},torchvision=${pytorch_vision_arg},torchaudio=${pytorch_audio_arg},triton=${triton_arg},flash-attn=${fa_arg},aiter=${aiter_arg},mori=${mori_arg},pytorch-rocm-arch=${pytorch_rocm_arch_arg}"
+    descriptor="$(clean_docker_tag "base_custom_aiter_${aiter_branch}_torch_${pytorch_branch}_${build_date}${build_suffix}")"
+    ci_descriptor="$(clean_docker_tag "ci_custom_aiter_${aiter_branch}_torch_${pytorch_branch}_${build_date}${build_suffix}")"
+
+    descriptive_tag="${BASE_REPO}:${descriptor}"
+    ci_descriptive_tag="${CI_IMAGE_REPO}:${ci_descriptor}"
+
+    tags=(-t "${descriptive_tag}")
+    if should_push_stable_tag; then
+        tags+=(-t "${stable_tag}")
+        metadata_set "rocm-base-push-stable-tag" "1"
+    else
+        metadata_set "rocm-base-push-stable-tag" "0"
+    fi
+
+    if [[ "${ROCM_BASE_NO_CACHE:-1}" == "1" ]]; then
+        no_cache_args=(--no-cache)
+    fi
+
+    for env_name in \
+        SCCACHE_DOWNLOAD_URL \
+        SCCACHE_ENDPOINT \
+        SCCACHE_BUCKET_NAME \
+        SCCACHE_REGION_NAME \
+        SCCACHE_S3_NO_CREDENTIALS; do
+        if [[ -n "${!env_name:-}" ]]; then
+            sccache_args+=(--build-arg "${env_name}=${!env_name}")
+        fi
+    done
+
+    echo "--- :docker: Building ROCm base image"
+    echo "Dockerfile: ${DOCKERFILE}"
+    echo "Descriptive tag: ${descriptive_tag}"
+    echo "Stable tag: ${stable_tag} ($(should_push_stable_tag && echo enabled || echo disabled))"
+    echo "Content hash: ${base_hash}"
+    echo "Dependency summary: ${dependency_summary}"
+    echo "USE_SCCACHE: ${use_sccache}"
+
+    docker buildx build \
+        "${no_cache_args[@]}" \
+        --pull \
+        --progress "${BUILDKIT_PROGRESS:-plain}" \
+        --file "${DOCKERFILE}" \
+        --build-arg "USE_SCCACHE=${use_sccache}" \
+        "${sccache_args[@]}" \
+        --label "org.opencontainers.image.source=https://github.com/vllm-project/vllm" \
+        --label "org.opencontainers.image.vendor=vLLM" \
+        --label "org.opencontainers.image.title=vLLM ROCm base" \
+        --label "org.opencontainers.image.revision=${BUILDKITE_COMMIT:-}" \
+        --label "vllm.rocm_base.metadata_version=${metadata_version}" \
+        --label "vllm.rocm_base.content_hash=${base_hash}" \
+        --label "vllm.rocm_base.content_files_hash=${content_files_hash}" \
+        --label "vllm.rocm_base.dockerfile=${DOCKERFILE}" \
+        --label "vllm.rocm_base.image.descriptive=${descriptive_tag}" \
+        --label "vllm.rocm_base.image.stable=${stable_tag}" \
+        --label "vllm.rocm_base.git_commit=${BUILDKITE_COMMIT:-}" \
+        --label "vllm.rocm_base.stable_branch=${ROCM_BASE_STABLE_BRANCH:-main}" \
+        --label "vllm.rocm_base.descriptor=${descriptor}" \
+        --label "vllm.rocm_base.dependency_summary=${dependency_summary}" \
+        --label "vllm.rocm_base.base_image=${base_image_arg}" \
+        --label "vllm.rocm_base.base_image_digest=${base_image_digest}" \
+        --label "vllm.rocm_base.dependency.rocm=${rocm_version}" \
+        --label "vllm.rocm_base.dependency.python=${python_version_arg}" \
+        --label "vllm.rocm_base.dependency.pytorch=${pytorch_arg}" \
+        --label "vllm.rocm_base.dependency.torchvision=${pytorch_vision_arg}" \
+        --label "vllm.rocm_base.dependency.torchaudio=${pytorch_audio_arg}" \
+        --label "vllm.rocm_base.dependency.triton=${triton_arg}" \
+        --label "vllm.rocm_base.dependency.flash_attention=${fa_arg}" \
+        --label "vllm.rocm_base.dependency.aiter=${aiter_arg}" \
+        --label "vllm.rocm_base.dependency.mori=${mori_arg}" \
+        --label "vllm.rocm_base.pytorch_rocm_arch=${pytorch_rocm_arch_arg}" \
+        "${tags[@]}" \
+        --push \
+        .
+
+    docker buildx imagetools inspect "${descriptive_tag}" >/dev/null
+
+    metadata_set "rocm-base-refresh" "1"
+    metadata_set "rocm-base-image" "${descriptive_tag}"
+    metadata_set "rocm-base-image-descriptive" "${descriptive_tag}"
+    metadata_set "rocm-base-image-stable" "${stable_tag}"
+    metadata_set "rocm-base-image-ci-descriptive" "${ci_descriptive_tag}"
+    metadata_set "rocm-base-metadata-version" "${metadata_version}"
+    metadata_set "rocm-base-content-hash" "${base_hash}"
+    metadata_set "rocm-base-content-files-hash" "${content_files_hash}"
+    metadata_set "rocm-base-content-files" "${content_files}"
+    metadata_set "rocm-base-content-args" "${content_args}"
+    metadata_set "rocm-base-base-image-digest" "${base_image_digest}"
+    metadata_set "rocm-base-dockerfile" "${DOCKERFILE}"
+    metadata_set "rocm-base-descriptor" "${descriptor}"
+    metadata_set "rocm-base-dependency-summary" "${dependency_summary}"
+    metadata_set "rocm-base-dependency-rocm" "${rocm_version}"
+    metadata_set "rocm-base-dependency-python" "${python_version_arg}"
+    metadata_set "rocm-base-dependency-pytorch" "${pytorch_arg}"
+    metadata_set "rocm-base-dependency-torchvision" "${pytorch_vision_arg}"
+    metadata_set "rocm-base-dependency-torchaudio" "${pytorch_audio_arg}"
+    metadata_set "rocm-base-dependency-triton" "${triton_arg}"
+    metadata_set "rocm-base-dependency-flash-attention" "${fa_arg}"
+    metadata_set "rocm-base-dependency-aiter" "${aiter_arg}"
+    metadata_set "rocm-base-dependency-mori" "${mori_arg}"
+    metadata_set "rocm-base-pytorch-rocm-arch" "${pytorch_rocm_arch_arg}"
+    metadata_set "rocm-ci-image-descriptive" "${ci_descriptive_tag}"
+
+    echo "--- :white_check_mark: ROCm base image published"
+    echo "Use BASE_IMAGE=${descriptive_tag} for downstream ROCm CI builds"
+}
+
+main() {
+    metadata_set "rocm-base-refresh" "0"
+
+    if ! rocm_base_changed; then
+        echo "ROCm base Dockerfile did not change; skipping base image refresh"
+        return 0
+    fi
+
+    setup_builder
+    build_base_image
+}
+
+main "$@"

.buildkite/scripts/rocm/smoke-test-image.sh

@@ -0,0 +1,32 @@
+#!/usr/bin/env bash
+# Fast structural smoke test for the full ROCm CI image.
+
+set -euo pipefail
+
+image_ref="${VLLM_CI_SMOKE_IMAGE:-rocm/vllm-ci:${BUILDKITE_COMMIT:?BUILDKITE_COMMIT is required}}"
+
+docker run --rm --network=none --entrypoint /bin/bash "${image_ref}" -ec '
+  if [ ! -d /vllm-workspace ]; then echo Missing directory: /vllm-workspace >&2; exit 1; fi
+  if [ ! -d /vllm-workspace/tests ]; then echo Missing directory: /vllm-workspace/tests >&2; exit 1; fi
+  if [ ! -d /vllm-workspace/src/vllm ]; then echo Missing directory: /vllm-workspace/src/vllm >&2; exit 1; fi
+  if [ ! -x /vllm-workspace/src/vllm/vllm-rs ]; then echo Missing executable: /vllm-workspace/src/vllm/vllm-rs >&2; exit 1; fi
+
+  command -v python3
+  command -v uv
+  command -v pytest
+
+  if ! command -v amd-smi >/dev/null 2>&1 && ! command -v rocminfo >/dev/null 2>&1; then
+    echo No ROCm CLI found in image >&2
+    exit 1
+  fi
+
+  python3 - <<PY
+import torch
+import vllm
+
+print(torch.__version__)
+print(vllm.__version__)
+PY
+
+  echo AMD image smoke OK
+'

.buildkite/scripts/run-multi-node-test.sh

@@ -109,7 +109,9 @@ run_nodes() {
         if [ "$node" -ne 0 ]; then
             docker exec -d "node$node" /bin/bash -c "cd $WORKING_DIR ; ${COMMANDS[$node]}"
         else
-            docker exec "node$node" /bin/bash -c "cd $WORKING_DIR ; ${COMMANDS[$node]}"
+            # Allocate a TTY (-t -i) for the foreground head node so its output
+            # keeps ANSI color in the Buildkite log (see run-amd-test.sh).
+            docker exec -t -i "node$node" /bin/bash -c "cd $WORKING_DIR ; ${COMMANDS[$node]}"
         fi
     done
 }

.buildkite/scripts/run-rust-frontend-cargo-ci.sh

@@ -8,7 +8,12 @@ if [[ "$MODE" != "style-clippy" && "$MODE" != "test" ]]; then
   exit 2
 fi
 
-ROOT_DIR="$(git rev-parse --show-toplevel)"
+if ROOT_DIR="$(git rev-parse --show-toplevel 2>/dev/null)"; then
+  :
+else
+  SCRIPT_DIR="$(cd -- "$(dirname -- "${BASH_SOURCE[0]}")" && pwd -P)"
+  ROOT_DIR="$(cd -- "${SCRIPT_DIR}/../.." && pwd -P)"
+fi
 cd "$ROOT_DIR"
 
 export CARGO_TERM_COLOR="${CARGO_TERM_COLOR:-always}"
@@ -16,16 +21,20 @@ export CARGO_HOME="${CARGO_HOME:-$HOME/.cargo}"
 export RUSTUP_HOME="${RUSTUP_HOME:-$HOME/.rustup}"
 export PATH="$CARGO_HOME/bin:$PATH"
 
+PROTOC_VERSION="${PROTOC_VERSION:-31.1}"
+CARGO_BINSTALL_VERSION="${CARGO_BINSTALL_VERSION:-1.20.1}"
+UV_VERSION="${UV_VERSION:-0.11.28}"
+PYO3_PYTHON_VERSION="${PYO3_PYTHON_VERSION:-3.12}"
+
+CARGO_SORT_VERSION_REQ="${CARGO_SORT_VERSION_REQ:-2}"
+CARGO_DENY_VERSION_REQ="${CARGO_DENY_VERSION_REQ:-0.20}"
+CARGO_NEXTEST_VERSION_REQ="${CARGO_NEXTEST_VERSION_REQ:-0.9}"
+
 log_section() {
   echo "--- $*"
 }
 
 install_protoc() {
-  if command -v protoc >/dev/null 2>&1; then
-    return
-  fi
-
-  local version="${PROTOC_VERSION:-31.1}"
   local arch
   case "$(uname -m)" in
     x86_64)
@@ -40,16 +49,17 @@ install_protoc() {
       ;;
   esac
 
-  local url="https://github.com/protocolbuffers/protobuf/releases/download/v${version}/protoc-${version}-linux-${arch}.zip"
+  local url="https://github.com/protocolbuffers/protobuf/releases/download/v${PROTOC_VERSION}/protoc-${PROTOC_VERSION}-linux-${arch}.zip"
   local tmp_dir
   tmp_dir="$(mktemp -d)"
 
-  log_section "Installing protoc ${version}"
+  log_section "Installing protoc ${PROTOC_VERSION}"
   curl -L --proto '=https' --tlsv1.2 -sSf "$url" -o "$tmp_dir/protoc.zip"
   mkdir -p "$CARGO_HOME/bin"
   unzip -q "$tmp_dir/protoc.zip" bin/protoc 'include/*' -d "$CARGO_HOME"
   chmod +x "$CARGO_HOME/bin/protoc"
   rm -rf "$tmp_dir"
+  protoc --version
 }
 
 rust_toolchain() {
@@ -70,48 +80,72 @@ install_rust_toolchain() {
 }
 
 install_cargo_binstall() {
-  if command -v cargo-binstall >/dev/null 2>&1; then
-    return
-  fi
-
-  log_section "Installing cargo-binstall"
+  log_section "Installing cargo-binstall ${CARGO_BINSTALL_VERSION}"
   curl -L --proto '=https' --tlsv1.2 -sSf \
-    https://raw.githubusercontent.com/cargo-bins/cargo-binstall/main/install-from-binstall-release.sh \
-    | bash
+    "https://raw.githubusercontent.com/cargo-bins/cargo-binstall/v${CARGO_BINSTALL_VERSION}/install-from-binstall-release.sh" \
+    | env BINSTALL_VERSION="$CARGO_BINSTALL_VERSION" bash
+  cargo-binstall -V
 }
 
 install_cargo_sort() {
-  if command -v cargo-sort >/dev/null 2>&1; then
-    return
-  fi
+  log_section "Installing cargo-sort ${CARGO_SORT_VERSION_REQ}"
+  cargo binstall --no-confirm --force "cargo-sort@${CARGO_SORT_VERSION_REQ}"
+}
 
-  log_section "Installing cargo-sort"
-  install_cargo_binstall
-  cargo binstall --no-confirm cargo-sort
+install_cargo_deny() {
+  log_section "Installing cargo-deny ${CARGO_DENY_VERSION_REQ}"
+  cargo binstall --no-confirm --force "cargo-deny@${CARGO_DENY_VERSION_REQ}"
 }
 
 install_cargo_nextest() {
-  if command -v cargo-nextest >/dev/null 2>&1; then
-    return
-  fi
-
-  log_section "Installing cargo-nextest"
-  install_cargo_binstall
-  cargo binstall --no-confirm --secure cargo-nextest
+  log_section "Installing cargo-nextest ${CARGO_NEXTEST_VERSION_REQ}"
+  cargo binstall \
+    --no-confirm \
+    --force \
+    --secure \
+    "cargo-nextest@${CARGO_NEXTEST_VERSION_REQ}"
 }
 
 install_uv() {
-  if command -v uv >/dev/null 2>&1; then
-    return
-  fi
-
-  log_section "Installing uv"
-  curl -LsSf --proto '=https' --tlsv1.2 https://astral.sh/uv/install.sh \
+  log_section "Installing uv ${UV_VERSION}"
+  curl -L --proto '=https' --tlsv1.2 -sSf \
+    "https://github.com/astral-sh/uv/releases/download/${UV_VERSION}/uv-installer.sh" \
     | env UV_INSTALL_DIR="$CARGO_HOME/bin" sh
+  uv --version
+}
+
+setup_pyo3_python() {
+  log_section "Installing Python ${PYO3_PYTHON_VERSION} for PyO3 tests"
+  uv python install "$PYO3_PYTHON_VERSION"
+  PYO3_PYTHON="$(uv python find \
+    --managed-python \
+    --no-project \
+    --resolve-links \
+    "$PYO3_PYTHON_VERSION")"
+  export PYO3_PYTHON
+
+  local python_libdir
+  python_libdir="$("$PYO3_PYTHON" - <<'PY'
+import pathlib
+import sysconfig
+
+libdir = pathlib.Path(sysconfig.get_config_var("LIBDIR"))
+ldlibrary = sysconfig.get_config_var("LDLIBRARY")
+assert sysconfig.get_config_var("Py_ENABLE_SHARED") == 1
+assert ldlibrary
+assert (libdir / ldlibrary).exists(), libdir / ldlibrary
+print(libdir)
+PY
+)"
+
+  export LD_LIBRARY_PATH="${python_libdir}:${LD_LIBRARY_PATH:-}"
+  export LIBRARY_PATH="${python_libdir}:${LIBRARY_PATH:-}"
 }
 
 run_style_clippy() {
+  install_cargo_binstall
   install_cargo_sort
+  install_cargo_deny
 
   log_section "Checking Rust formatting"
   cargo fmt --manifest-path rust/Cargo.toml --all -- --check
@@ -119,6 +153,13 @@ run_style_clippy() {
   log_section "Checking Cargo.toml ordering"
   cargo sort --workspace --check rust
 
+  log_section "Checking Rust dependency bans"
+  cargo deny \
+    --manifest-path rust/Cargo.toml \
+    --config rust/deny.toml \
+    check \
+    bans
+
   log_section "Running clippy"
   cargo clippy \
     --manifest-path rust/Cargo.toml \
@@ -132,6 +173,8 @@ run_style_clippy() {
 
 run_tests() {
   install_uv
+  setup_pyo3_python
+  install_cargo_binstall
   install_cargo_nextest
 
   log_section "Running cargo nextest"

.buildkite/scripts/scheduled_integration_test/deepseek_v2_lite_prefetch_offload.sh

@@ -33,6 +33,14 @@ if [[ -n "${ATTENTION_BACKEND:-}" ]]; then
   EXTRA_ARGS+=(--attention-backend "${ATTENTION_BACKEND}")
 fi
 
+# ROCm: run eager to avoid intermittent HIP-graph decode corruption.
+# See https://github.com/ROCm/clr/issues/279
+# TODO(aarushjain29): Revert after TheRock 7.14
+if command -v rocm-smi &> /dev/null || command -v amd-smi &> /dev/null || [[ -d /opt/rocm ]] || [[ -n "${ROCM_PATH:-}" ]]; then
+  echo "ROCm platform detected: adding --enforce-eager to avoid HIP-graph decode corruption"
+  EXTRA_ARGS+=(--enforce-eager)
+fi
+
 cleanup() {
   if [[ -n "${SERVER_PID:-}" ]] && kill -0 "${SERVER_PID}" 2>/dev/null; then
     kill "${SERVER_PID}" 2>/dev/null || true

.buildkite/scripts/scheduled_integration_test/qwen30b_a3b_fp8_dp4_async_eplb.sh

@@ -18,6 +18,10 @@ wait_for_server() {
 
 MODEL="Qwen/Qwen3-30B-A3B-FP8"
 BACK="allgather_reducescatter"
+if command -v rocm-smi &> /dev/null || [[ -d /opt/rocm ]] || [[ -n "${ROCM_PATH:-}" ]]; then
+  # Disable MOE padding for ROCm since it is causing eplb to fail.
+  export VLLM_ROCM_MOE_PADDING=0
+fi
 
 cleanup() {
   if [[ -n "${SERVER_PID:-}" ]] && kill -0 "${SERVER_PID}" 2>/dev/null; then

.buildkite/scripts/trigger-ci-build.sh

@@ -23,6 +23,7 @@ NC='\033[0m' # No Color
 # Default configuration
 PIPELINE="ci"
 DRY_RUN=true
+TORCH_NIGHTLY=false
 
 usage() {
     cat <<EOF
@@ -34,12 +35,14 @@ Sets RUN_ALL=1 and NIGHTLY=1 environment variables.
 SAFETY: Dry-run by default. Use --execute to actually trigger a build.
 
 Options:
-    --execute       Actually trigger the build (default: dry-run)
-    --pipeline      Buildkite pipeline slug (default: ${PIPELINE})
-    --commit        Override commit SHA (default: current HEAD)
-    --branch        Override branch name (default: current branch)
-    --message       Custom build message (default: auto-generated)
-    --help          Show this help message
+    --execute        Actually trigger the build (default: dry-run)
+    --pipeline       Buildkite pipeline slug (default: ${PIPELINE})
+    --commit         Override commit SHA (default: current HEAD)
+    --branch         Override branch name (default: current branch)
+    --message        Custom build message (default: auto-generated)
+    --torch-nightly  Also build and run the full suite against torch nightly
+                     (sets TORCH_NIGHTLY=1)
+    --help           Show this help message
 
 Prerequisites:
     - bk CLI installed: brew tap buildkite/buildkite && brew install buildkite/buildkite/bk
@@ -49,6 +52,7 @@ Examples:
     $(basename "$0")                        # Dry-run, show what would happen
     $(basename "$0") --execute              # Actually trigger the build
     $(basename "$0") --pipeline ci-shadow   # Dry-run with different pipeline
+    $(basename "$0") --torch-nightly        # Dry-run a full torch-nightly run
 EOF
     exit 1
 }
@@ -96,6 +100,10 @@ while [[ $# -gt 0 ]]; do
             MESSAGE="$2"
             shift 2
             ;;
+        --torch-nightly)
+            TORCH_NIGHTLY=true
+            shift
+            ;;
         --help|-h)
             usage
             ;;
@@ -171,11 +179,17 @@ if [[ $(echo "$REMOTE_BRANCHES" | wc -l) -gt 5 ]]; then
 fi
 echo ""
 
+# Environment variables passed to the build.
+BUILD_ENV=("RUN_ALL=1" "NIGHTLY=1")
+if [[ "$TORCH_NIGHTLY" == true ]]; then
+    BUILD_ENV+=("TORCH_NIGHTLY=1")
+fi
+
 log_info "Pipeline: ${PIPELINE}"
 log_info "Branch: ${BRANCH}"
 log_info "Commit: ${COMMIT}"
 log_info "Message: ${MESSAGE}"
-log_info "Environment: RUN_ALL=1, NIGHTLY=1"
+log_info "Environment: ${BUILD_ENV[*]}"
 echo ""
 
 # Build the command
@@ -187,9 +201,10 @@ CMD=(bk build create
     --commit "${COMMIT}"
     --branch "${BRANCH}"
     --message "${MESSAGE}"
-    --env "RUN_ALL=1"
-    --env "NIGHTLY=1"
 )
+for env_var in "${BUILD_ENV[@]}"; do
+    CMD+=(--env "${env_var}")
+done
 
 if [[ "$DRY_RUN" == true ]]; then
     echo "=========================================="
@@ -210,8 +225,14 @@ if [[ "$DRY_RUN" == true ]]; then
     echo "    --commit '$(escape_for_shell "${COMMIT}")' \\"
     echo "    --branch '$(escape_for_shell "${BRANCH}")' \\"
     echo "    --message '$(escape_for_shell "${MESSAGE}")' \\"
-    echo "    --env 'RUN_ALL=1' \\"
-    echo "    --env 'NIGHTLY=1'"
+    last_idx=$(( ${#BUILD_ENV[@]} - 1 ))
+    for i in "${!BUILD_ENV[@]}"; do
+        if [[ $i -eq $last_idx ]]; then
+            echo "    --env '$(escape_for_shell "${BUILD_ENV[$i]}")'"
+        else
+            echo "    --env '$(escape_for_shell "${BUILD_ENV[$i]}")' \\"
+        fi
+    done
     echo ""
     echo "=========================================="
     echo -e "${YELLOW}To actually trigger this build, run:${NC}"

.buildkite/scripts/xpu/create-xpu-ecr-manifest.sh

@@ -0,0 +1,13 @@
+#!/bin/bash
+
+set -euo pipefail
+
+REGISTRY="public.ecr.aws/q9t5s3a7"
+REPO="vllm-release-repo"
+ARCH_TAG="${BUILDKITE_COMMIT}-$(uname -m)-xpu"
+PLATFORM_TAG="${BUILDKITE_COMMIT}-xpu"
+
+aws ecr-public get-login-password --region us-east-1 | docker login --username AWS --password-stdin ${REGISTRY}
+docker manifest rm ${REGISTRY}/${REPO}:${PLATFORM_TAG} || true
+docker manifest create ${REGISTRY}/${REPO}:${PLATFORM_TAG} ${REGISTRY}/${REPO}:${ARCH_TAG} --amend
+docker manifest push ${REGISTRY}/${REPO}:${PLATFORM_TAG}

.buildkite/scripts/xpu/push-nightly-builds-xpu.sh

@@ -0,0 +1,21 @@
+#!/bin/bash
+
+set -ex
+
+ORIG_TAG_NAME="$BUILDKITE_COMMIT"
+REPO="vllm/vllm-openai-xpu"
+
+echo "Pushing original XPU tag ${ORIG_TAG_NAME}-xpu to nightly tags in ${REPO}"
+
+aws ecr-public get-login-password --region us-east-1 | docker login --username AWS --password-stdin public.ecr.aws/q9t5s3a7
+docker pull public.ecr.aws/q9t5s3a7/vllm-release-repo:"$ORIG_TAG_NAME"-x86_64-xpu
+
+docker tag public.ecr.aws/q9t5s3a7/vllm-release-repo:"$ORIG_TAG_NAME"-x86_64-xpu ${REPO}:nightly-x86_64
+docker push ${REPO}:nightly-x86_64
+
+docker manifest rm ${REPO}:nightly || true
+docker manifest rm ${REPO}:nightly-"$BUILDKITE_COMMIT" || true
+docker manifest create ${REPO}:nightly ${REPO}:nightly-x86_64 --amend
+docker manifest create ${REPO}:nightly-"$BUILDKITE_COMMIT" ${REPO}:nightly-x86_64 --amend
+docker manifest push ${REPO}:nightly
+docker manifest push ${REPO}:nightly-"$BUILDKITE_COMMIT"

.buildkite/test_areas/attention.yaml

@@ -4,7 +4,7 @@ depends_on:
 steps:
 - label: V1 attention (H100-MI300)
   key: v1-attention-h100-mi300
-  timeout_in_minutes: 30
+  timeout_in_minutes: 85
   device: h100
   source_file_dependencies:
     - vllm/config/attention.py
@@ -12,11 +12,12 @@ steps:
     - vllm/v1/attention
     - tests/v1/attention
   commands:
-    - pytest -v -s v1/attention
+    - pytest -v -s v1/attention --shard-id=$$BUILDKITE_PARALLEL_JOB --num-shards=$$BUILDKITE_PARALLEL_JOB_COUNT
+  parallelism: 2
   mirror:
     amd:
-      device: mi300_1
-      timeout_in_minutes: 70
+      device: mi325_1
+      timeout_in_minutes: 95
       depends_on:
       - image-build-amd
       source_file_dependencies:
@@ -30,7 +31,7 @@ steps:
 
 - label: V1 attention (B200)
   key: v1-attention-b200
-  timeout_in_minutes: 30
+  timeout_in_minutes: 80
   device: b200-k8s
   source_file_dependencies:
     - vllm/config/attention.py
@@ -38,4 +39,5 @@ steps:
     - vllm/v1/attention
     - tests/v1/attention
   commands:
-    - pytest -v -s v1/attention
+    - pytest -v -s v1/attention --shard-id=$$BUILDKITE_PARALLEL_JOB --num-shards=$$BUILDKITE_PARALLEL_JOB_COUNT
+  parallelism: 2

.buildkite/test_areas/basic_correctness.yaml

@@ -4,7 +4,7 @@ depends_on:
 steps:
 - label: Basic Correctness
   key: basic-correctness
-  timeout_in_minutes: 30
+  timeout_in_minutes: 45
   device: h200_18gb
   source_file_dependencies:
   - vllm/
@@ -16,3 +16,9 @@ steps:
   - pytest -v -s basic_correctness/test_mem.py
   - pytest -v -s basic_correctness/test_basic_correctness.py
   - pytest -v -s basic_correctness/test_cpu_offload.py
+  mirror:
+    amd:
+      device: mi325_1
+      timeout_in_minutes: 70
+      depends_on:
+      - image-build-amd

.buildkite/test_areas/benchmarks.yaml

@@ -4,13 +4,18 @@ depends_on:
 steps:
 - label: Benchmarks CLI Test
   key: benchmarks-cli-test
-  timeout_in_minutes: 20
+  timeout_in_minutes: 30
   device: h200_18gb
   source_file_dependencies:
   - vllm/
   - tests/benchmarks/
   commands:
   - pytest -v -s benchmarks/
+  mirror:
+    amd:
+      device: mi300_1
+      depends_on:
+      - image-build-amd
 
 - label: Attention Benchmarks Smoke Test (B200)
   key: attention-benchmarks-smoke-test-b200
@@ -18,9 +23,9 @@ steps:
   num_gpus: 2
   optional: true
   working_dir: "/vllm-workspace/"
-  timeout_in_minutes: 10
+  timeout_in_minutes: 20
   source_file_dependencies:
   - benchmarks/attention_benchmarks/
   - vllm/v1/attention/
   commands:
-  - python3 benchmarks/attention_benchmarks/benchmark.py --backends flash flashinfer --batch-specs "8q1s1k" --repeats 1 --warmup-iters 1
+  - python3 benchmarks/attention_benchmarks/benchmark.py --backends flash flashinfer --batch-specs "8q1s1k"

.buildkite/test_areas/compile.yaml

@@ -4,7 +4,7 @@ depends_on:
 steps:
 - label: Sequence Parallel Correctness Tests (2 GPUs)
   key: sequence-parallel-correctness-tests-2-gpus
-  timeout_in_minutes: 50
+  timeout_in_minutes: 80
   working_dir: "/vllm-workspace/"
   num_devices: 2
   source_file_dependencies:
@@ -19,7 +19,7 @@ steps:
 
 - label: Sequence Parallel Correctness Tests (2xH100)
   key: sequence-parallel-correctness-tests-2xh100
-  timeout_in_minutes: 50
+  timeout_in_minutes: 75
   working_dir: "/vllm-workspace/"
   device: h100
   optional: true
@@ -30,7 +30,7 @@ steps:
 
 - label: AsyncTP Correctness Tests (2xH100)
   key: asynctp-correctness-tests-2xh100
-  timeout_in_minutes: 50
+  timeout_in_minutes: 30
   working_dir: "/vllm-workspace/"
   device: h100
   optional: true
@@ -41,7 +41,7 @@ steps:
 
 - label: AsyncTP Correctness Tests (B200)
   key: asynctp-correctness-tests-b200
-  timeout_in_minutes: 50
+  timeout_in_minutes: 30
   working_dir: "/vllm-workspace/"
   device: b200-k8s
   optional: true
@@ -52,7 +52,7 @@ steps:
 
 - label: Distributed Compile Unit Tests (2xH100)
   key: distributed-compile-unit-tests-2xh100
-  timeout_in_minutes: 20
+  timeout_in_minutes: 45
   working_dir: "/vllm-workspace/"
   device: h100
   num_devices: 2
@@ -66,7 +66,7 @@ steps:
 
 - label: Fusion and Compile Unit Tests (2xB200)
   key: fusion-and-compile-unit-tests-2xb200
-  timeout_in_minutes: 20
+  timeout_in_minutes: 30
   working_dir: "/vllm-workspace/"
   device: b200-k8s
   source_file_dependencies:
@@ -96,7 +96,7 @@ steps:
 
 - label: Fusion E2E Quick (H100)
   key: fusion-e2e-quick-h100
-  timeout_in_minutes: 15
+  timeout_in_minutes: 25
   working_dir: "/vllm-workspace/"
   device: h100
   num_devices: 1
@@ -115,7 +115,7 @@ steps:
 
 - label: Fusion E2E Config Sweep (H100)
   key: fusion-e2e-config-sweep-h100
-  timeout_in_minutes: 30
+  timeout_in_minutes: 25
   working_dir: "/vllm-workspace/"
   device: h100
   num_devices: 1
@@ -149,7 +149,7 @@ steps:
 
 - label: Fusion E2E TP2 Quick (H100)
   key: fusion-e2e-tp2-quick-h100
-  timeout_in_minutes: 20
+  timeout_in_minutes: 35
   working_dir: "/vllm-workspace/"
   device: h100
   num_devices: 2
@@ -167,7 +167,7 @@ steps:
 
 - label: Fusion E2E TP2 AR-RMS Config Sweep (H100)
   key: fusion-e2e-tp2-ar-rms-config-sweep-h100
-  timeout_in_minutes: 40
+  timeout_in_minutes: 30
   working_dir: "/vllm-workspace/"
   device: h100
   num_devices: 2
@@ -207,7 +207,7 @@ steps:
 
 - label: Fusion E2E TP2 (B200)
   key: fusion-e2e-tp2-b200
-  timeout_in_minutes: 20
+  timeout_in_minutes: 45
   working_dir: "/vllm-workspace/"
   device: b200-k8s
   num_devices: 2

.buildkite/test_areas/cuda.yaml

@@ -2,9 +2,9 @@ group: CUDA
 depends_on: 
   - image-build
 steps:
-- label: Platform Tests (CUDA)
-  key: platform-tests-cuda
-  timeout_in_minutes: 15
+- label: Platform Tests
+  key: platform-tests
+  timeout_in_minutes: 20
   device: h200_18gb
   source_file_dependencies:
   - vllm/envs.py
@@ -19,7 +19,7 @@ steps:
 
 - label: Cudagraph
   key: cudagraph
-  timeout_in_minutes: 20
+  timeout_in_minutes: 30
   source_file_dependencies:
   - tests/v1/cudagraph
   - vllm/v1/cudagraph_dispatcher.py

.buildkite/test_areas/disaggregated.yaml

@@ -4,7 +4,7 @@ depends_on:
 steps:
 - label: Distributed NixlConnector PD accuracy (4 GPUs)
   key: distributed-nixlconnector-pd-accuracy-4-gpus
-  timeout_in_minutes: 30
+  timeout_in_minutes: 55
   working_dir: "/vllm-workspace/tests"
   num_devices: 4
   source_file_dependencies:
@@ -13,9 +13,23 @@ steps:
   commands:
     - bash /vllm-workspace/.buildkite/scripts/install-kv-connectors.sh
     - bash v1/kv_connector/nixl_integration/config_sweep_accuracy_test.sh
+  mirror:
+    amd:
+      device: mi300_4
+      timeout_in_minutes: 85
+      depends_on:
+        - image-build-amd
+      source_file_dependencies:
+        - vllm/distributed/kv_transfer/kv_connector/v1/nixl/
+        - tests/v1/kv_connector/nixl_integration/
+        - vllm/platforms/rocm.py
+      commands:
+        - uv pip install --system -r /vllm-workspace/requirements/kv_connectors_rocm.txt
+        - ATTENTION_BACKEND=TRITON_ATTN bash v1/kv_connector/nixl_integration/config_sweep_accuracy_test.sh
+
 - label: Distributed FlashInfer NixlConnector PD accuracy (4 GPUs)
   key: distributed-flashinfer-nixlconnector-pd-accuracy-4-gpus
-  timeout_in_minutes: 30
+  timeout_in_minutes: 55
   working_dir: "/vllm-workspace/tests"
   num_devices: 4
   source_file_dependencies:
@@ -25,6 +39,19 @@ steps:
     - bash /vllm-workspace/.buildkite/scripts/install-kv-connectors.sh
     - FLASHINFER=1 bash v1/kv_connector/nixl_integration/config_sweep_accuracy_test.sh
 
+- label: Push NixlConnector PP prefill PD accuracy (4 GPUs)
+  key: push-nixlconnector-pp-prefill-pd-accuracy-4-gpus
+  timeout_in_minutes: 30
+  working_dir: "/vllm-workspace/tests"
+  num_devices: 4
+  source_file_dependencies:
+    - vllm/distributed/kv_transfer/kv_connector/v1/nixl/
+    - tests/v1/kv_connector/nixl_integration/
+    - tests/v1/kv_connector/nixl_push_integration/
+  commands:
+    - bash /vllm-workspace/.buildkite/scripts/install-kv-connectors.sh
+    - bash v1/kv_connector/nixl_push_integration/config_sweep_accuracy_test.sh
+
 - label: DP EP Distributed NixlConnector PD accuracy tests (4 GPUs)
   key: dp-ep-distributed-nixlconnector-pd-accuracy-tests-4-gpus
   timeout_in_minutes: 30
@@ -36,10 +63,23 @@ steps:
   commands:
     - bash /vllm-workspace/.buildkite/scripts/install-kv-connectors.sh
     - DP_EP=1 bash v1/kv_connector/nixl_integration/config_sweep_accuracy_test.sh
+  mirror:
+    amd:
+      device: mi300_4
+      timeout_in_minutes: 60
+      depends_on:
+        - image-build-amd
+      source_file_dependencies:
+        - vllm/distributed/kv_transfer/kv_connector/v1/nixl/
+        - tests/v1/kv_connector/nixl_integration/
+        - vllm/platforms/rocm.py
+      commands:
+        - uv pip install --system -r /vllm-workspace/requirements/kv_connectors_rocm.txt
+        - DP_EP=1 ATTENTION_BACKEND=TRITON_ATTN bash v1/kv_connector/nixl_integration/config_sweep_accuracy_test.sh
 
 - label: CrossLayer KV layout Distributed NixlConnector PD accuracy tests (4 GPUs)
   key: crosslayer-kv-layout-distributed-nixlconnector-pd-accuracy-tests-4-gpus
-  timeout_in_minutes: 30
+  timeout_in_minutes: 55
   working_dir: "/vllm-workspace/tests"
   num_devices: 4
   source_file_dependencies:
@@ -48,10 +88,23 @@ steps:
   commands:
     - bash /vllm-workspace/.buildkite/scripts/install-kv-connectors.sh
     - CROSS_LAYERS_BLOCKS=True bash v1/kv_connector/nixl_integration/config_sweep_accuracy_test.sh
+  mirror:
+    amd:
+      device: mi300_4
+      timeout_in_minutes: 85
+      depends_on:
+        - image-build-amd
+      source_file_dependencies:
+        - vllm/distributed/kv_transfer/kv_connector/v1/nixl/
+        - tests/v1/kv_connector/nixl_integration/
+        - vllm/platforms/rocm.py
+      commands:
+        - uv pip install --system -r /vllm-workspace/requirements/kv_connectors_rocm.txt
+        - CROSS_LAYERS_BLOCKS=True ATTENTION_BACKEND=TRITON_ATTN bash v1/kv_connector/nixl_integration/config_sweep_accuracy_test.sh
 
 - label: Hybrid SSM NixlConnector PD accuracy tests (4 GPUs)
   key: hybrid-ssm-nixlconnector-pd-accuracy-tests-4-gpus
-  timeout_in_minutes: 25
+  timeout_in_minutes: 60
   working_dir: "/vllm-workspace/tests"
   num_devices: 4
   source_file_dependencies:
@@ -60,10 +113,37 @@ steps:
   commands:
     - bash /vllm-workspace/.buildkite/scripts/install-kv-connectors.sh
     - HYBRID_SSM=1 bash v1/kv_connector/nixl_integration/config_sweep_accuracy_test.sh
+  mirror:
+    amd:
+      device: mi300_4
+      timeout_in_minutes: 80
+      depends_on:
+        - image-build-amd
+      source_file_dependencies:
+        - vllm/distributed/kv_transfer/kv_connector/v1/nixl/
+        - tests/v1/kv_connector/nixl_integration/
+        - vllm/platforms/rocm.py
+      commands:
+        - uv pip install --system -r /vllm-workspace/requirements/kv_connectors_rocm.txt
+        - HYBRID_SSM=1 ATTENTION_BACKEND=TRITON_ATTN bash v1/kv_connector/nixl_integration/config_sweep_accuracy_test.sh
+
+- label: Hybrid SSM NixlConnector PD prefix cache test (2 GPUs)
+  key: hybrid-ssm-nixlconnector-pd-prefix-cache-2-gpus
+  timeout_in_minutes: 25
+  working_dir: "/vllm-workspace/tests"
+  num_devices: 2
+  source_file_dependencies:
+    - vllm/distributed/kv_transfer/kv_connector/v1/nixl/
+    - vllm/v1/core/sched/
+    - vllm/v1/core/kv_cache_coordinator.py
+    - tests/v1/kv_connector/nixl_integration/
+  commands:
+    - bash /vllm-workspace/.buildkite/scripts/install-kv-connectors.sh
+    - bash v1/kv_connector/nixl_integration/run_mamba_prefix_cache_test.sh
 
 - label: MultiConnector (Nixl+Offloading) PD accuracy (2 GPUs)
   key: multiconnector-nixl-offloading-pd-accuracy-2-gpus
-  timeout_in_minutes: 30
+  timeout_in_minutes: 40
   working_dir: "/vllm-workspace/tests"
   num_devices: 2
   source_file_dependencies:
@@ -78,7 +158,7 @@ steps:
 
 - label: NixlConnector PD + Spec Decode acceptance (2 GPUs)
   key: nixlconnector-pd-spec-decode-acceptance-2-gpus
-  timeout_in_minutes: 30
+  timeout_in_minutes: 45
   device: a100
   working_dir: "/vllm-workspace/tests"
   num_devices: 2
@@ -89,10 +169,24 @@ steps:
   commands:
     - bash /vllm-workspace/.buildkite/scripts/install-kv-connectors.sh
     - bash v1/kv_connector/nixl_integration/config_sweep_spec_decode_test.sh
+  mirror:
+    amd:
+      device: mi300_2
+      timeout_in_minutes: 70
+      depends_on:
+        - image-build-amd
+      source_file_dependencies:
+        - vllm/distributed/kv_transfer/kv_connector/v1/nixl/
+        - vllm/v1/worker/kv_connector_model_runner_mixin.py
+        - tests/v1/kv_connector/nixl_integration/
+        - vllm/platforms/rocm.py
+      commands:
+        - uv pip install --system -r /vllm-workspace/requirements/kv_connectors_rocm.txt
+        - ATTENTION_BACKEND=TRITON_ATTN bash v1/kv_connector/nixl_integration/config_sweep_spec_decode_test.sh
 
 - label: MultiConnector (Nixl+Offloading) PD edge cases (2 GPUs)
   key: multiconnector-nixl-offloading-pd-edge-cases-2-gpus
-  timeout_in_minutes: 30
+  timeout_in_minutes: 25
   working_dir: "/vllm-workspace/tests"
   num_devices: 2
   source_file_dependencies:

.buildkite/test_areas/distributed.yaml

@@ -4,7 +4,7 @@ depends_on:
 steps:
 - label: Distributed Comm Ops
   key: distributed-comm-ops
-  timeout_in_minutes: 20
+  timeout_in_minutes: 25
   working_dir: "/vllm-workspace/tests"
   num_devices: 2
   source_file_dependencies:
@@ -18,7 +18,7 @@ steps:
 
 - label: Distributed DP Tests (2 GPUs)
   key: distributed-dp-tests-2-gpus
-  timeout_in_minutes: 20
+  timeout_in_minutes: 35
   working_dir: "/vllm-workspace/tests"
   num_devices: 2
   source_file_dependencies:
@@ -37,10 +37,25 @@ steps:
   - TP_SIZE=1 DP_SIZE=2 pytest -v -s v1/distributed/test_eagle_dp.py
   - TP_SIZE=1 DP_SIZE=2 pytest -v -s v1/distributed/test_external_lb_dp.py
   - DP_SIZE=2 pytest -v -s entrypoints/openai/test_multi_api_servers.py
+  mirror:
+    amd:
+      device: mi300_2
+      depends_on:
+      - image-build-amd
+      source_file_dependencies:
+      - vllm/distributed/
+      - vllm/engine/
+      - vllm/executor/
+      - vllm/worker/worker_base.py
+      - vllm/v1/engine/
+      - vllm/v1/worker/
+      - tests/v1/distributed
+      - tests/entrypoints/openai/test_multi_api_servers.py
+      - vllm/platforms/rocm.py
 
 - label: Distributed Compile + RPC Tests (2 GPUs)
   key: distributed-compile-rpc-tests-2-gpus
-  timeout_in_minutes: 20
+  timeout_in_minutes: 65
   working_dir: "/vllm-workspace/tests"
   num_devices: 2
   source_file_dependencies:
@@ -63,7 +78,7 @@ steps:
 
 - label: Distributed Torchrun + Shutdown Tests (2 GPUs)
   key: distributed-torchrun-shutdown-tests-2-gpus
-  timeout_in_minutes: 20
+  timeout_in_minutes: 30
   working_dir: "/vllm-workspace/tests"
   num_devices: 2
   source_file_dependencies:
@@ -118,7 +133,7 @@ steps:
 
 - label: Distributed DP Tests (4 GPUs)
   key: distributed-dp-tests-4-gpus
-  timeout_in_minutes: 30
+  timeout_in_minutes: 45
   working_dir: "/vllm-workspace/tests"
   num_devices: 4
   source_file_dependencies:
@@ -139,7 +154,7 @@ steps:
 
 - label: Distributed Compile + Comm (4 GPUs)
   key: distributed-compile-comm-4-gpus
-  timeout_in_minutes: 30
+  timeout_in_minutes: 70
   working_dir: "/vllm-workspace/tests"
   num_devices: 4
   source_file_dependencies:
@@ -159,9 +174,9 @@ steps:
   # test multi-node TP with multiproc executor (simulated on single node)
   - pytest -v -s distributed/test_multiproc_executor.py::test_multiproc_executor_multi_node
 
-- label: Distributed Tests (8 GPUs)(H100)
-  key: distributed-tests-8-gpus-h100
-  timeout_in_minutes: 10
+- label: Distributed Tests (8xH100)
+  key: distributed-tests-8xh100
+  timeout_in_minutes: 20
   device: h100
   num_devices: 8
   working_dir: "/vllm-workspace/tests"
@@ -180,8 +195,8 @@ steps:
   # test with torchrun tp=2 and dp=4 with ep
   - torchrun --nproc-per-node=8 ../examples/features/torchrun/torchrun_dp_example_offline.py --tp-size=2 --pp-size=1 --dp-size=4 --enable-ep
 
-- label: Distributed Tests (4 GPUs)(A100)
-  key: distributed-tests-4-gpus-a100
+- label: Distributed Tests (4xA100)
+  key: distributed-tests-4xa100
   device: a100
   optional: true
   num_devices: 4
@@ -195,9 +210,9 @@ steps:
   - TARGET_TEST_SUITE=A100 pytest basic_correctness/ -v -s -m 'distributed(num_gpus=2)'
   - pytest -v -s -x lora/test_mixtral.py
 
-- label: Distributed Tests (2 GPUs)(H100)
-  key: distributed-tests-2-gpus-h100
-  timeout_in_minutes: 15
+- label: Distributed Tests (2xH100-2xMI300)
+  key: distributed-tests-2xh100-2xmi300
+  timeout_in_minutes: 30
   device: h100
   optional: true
   working_dir: "/vllm-workspace/"
@@ -210,15 +225,15 @@ steps:
     - VLLM_ALLOW_INSECURE_SERIALIZATION=1 pytest -v -s tests/distributed/test_weight_transfer.py
     - pytest -v -s tests/distributed/test_packed_tensor.py
 
-- label: Distributed Tests (2 GPUs)(B200)
-  key: distributed-tests-2-gpus-b200
+- label: Distributed Tests (2xB200)
+  key: distributed-tests-2xb200
   device: b200-k8s
   optional: true
   working_dir: "/vllm-workspace/"
   num_devices: 2
   commands:
     - pytest -v -s tests/distributed/test_context_parallel.py
-    - pytest -v -s tests/distributed/test_nccl_symm_mem_allreduce.py
+    - pytest -v -s tests/distributed/test_nccl_symm_mem.py
     - pytest -v -s tests/v1/distributed/test_dbo.py
     - pytest -v -s tests/distributed/test_mnnvl_alltoall.py
 
@@ -244,7 +259,7 @@ steps:
 
 - label: Pipeline + Context Parallelism (4 GPUs)
   key: pipeline-context-parallelism-4-gpus
-  timeout_in_minutes: 60
+  timeout_in_minutes: 55
   working_dir: "/vllm-workspace/tests"
   num_devices: 4
   source_file_dependencies:
@@ -259,7 +274,7 @@ steps:
 
 - label: RayExecutorV2 (4 GPUs)
   key: rayexecutorv2-4-gpus
-  timeout_in_minutes: 60
+  timeout_in_minutes: 45
   working_dir: "/vllm-workspace/tests"
   num_devices: 4
   source_file_dependencies:

.buildkite/test_areas/docker.yaml

@@ -3,7 +3,7 @@ depends_on:
   - image-build-cpu
 steps:
 - label: Docker Build Metadata
-  timeout_in_minutes: 10
+  timeout_in_minutes: 20
   device: cpu-small
   source_file_dependencies:
     - .buildkite/release-pipeline.yaml

.buildkite/test_areas/e2e_integration.yaml

@@ -2,9 +2,9 @@ group: E2E Integration
 depends_on: 
   - image-build
 steps:
-- label: DeepSeek V2-Lite Sync EPLB Accuracy
-  key: deepseek-v2-lite-sync-eplb-accuracy
-  timeout_in_minutes: 60
+- label: DeepSeek V2-Lite Sync EPLB Accuracy (4xH100)
+  key: deepseek-v2-lite-sync-eplb-accuracy-4xh100
+  timeout_in_minutes: 25
   device: h100
   optional: true
   num_devices: 4
@@ -12,9 +12,9 @@ steps:
   commands:
   - bash .buildkite/scripts/scheduled_integration_test/deepseek_v2_lite_ep_eplb.sh 0.25 200 8010
 
-- label: Qwen3-30B-A3B-FP8-block Sync EPLB Accuracy
-  key: qwen3-30b-a3b-fp8-block-sync-eplb-accuracy
-  timeout_in_minutes: 60
+- label: Qwen3-30B-A3B-FP8-block Sync EPLB Accuracy (4xH100)
+  key: qwen3-30b-a3b-fp8-block-sync-eplb-accuracy-4xh100
+  timeout_in_minutes: 25
   device: h100
   optional: true
   num_devices: 4
@@ -22,9 +22,9 @@ steps:
   commands:
   - bash .buildkite/scripts/scheduled_integration_test/qwen30b_a3b_fp8_block_ep_eplb.sh 0.8 200 8020
 
-- label: Qwen3-30B-A3B-FP8-block Sync EPLB Accuracy (B200)
-  key: qwen3-30b-a3b-fp8-block-sync-eplb-accuracy-b200
-  timeout_in_minutes: 60
+- label: Qwen3-30B-A3B-FP8-block Sync EPLB Accuracy (2xB200)
+  key: qwen3-30b-a3b-fp8-block-sync-eplb-accuracy-2xb200
+  timeout_in_minutes: 20
   device: b200-k8s
   optional: true
   num_devices: 2
@@ -34,7 +34,7 @@ steps:
 
 - label: Qwen3-30B-A3B-FP8 DP4 Async EPLB Accuracy
   key: qwen3-30b-a3b-fp8-dp4-async-eplb-accuracy
-  timeout_in_minutes: 60
+  timeout_in_minutes: 25
   device: h100
   optional: true
   num_devices: 4
@@ -44,7 +44,7 @@ steps:
 
 - label: DeepSeek V2-Lite Prefetch Offload Accuracy (H100)
   key: deepseek-v2-lite-prefetch-offload-accuracy-h100
-  timeout_in_minutes: 60
+  timeout_in_minutes: 20
   device: h100
   optional: true
   num_devices: 1

.buildkite/test_areas/engine.yaml

@@ -4,7 +4,7 @@ depends_on:
 steps:
 - label: Engine
   key: engine
-  timeout_in_minutes: 15
+  timeout_in_minutes: 30
   device: h200_18gb
   source_file_dependencies:
   - vllm/compilation/
@@ -28,14 +28,14 @@ steps:
   - pytest -v -s engine test_sequence.py test_config.py test_logger.py test_vllm_port.py test_jit_monitor.py
   mirror:
     amd:
-      device: mi300_1
-      timeout_in_minutes: 60
+      device: mi325_1
+      timeout_in_minutes: 50
       depends_on:
       - image-build-amd
 
 - label: Engine (1 GPU)
   key: engine-1-gpu
-  timeout_in_minutes: 30
+  timeout_in_minutes: 45
   source_file_dependencies:
     - vllm/v1/engine/
     - tests/v1/engine/
@@ -44,14 +44,14 @@ steps:
     - pytest -v -s v1/engine --ignore v1/engine/test_preprocess_error_handling.py
   mirror:
     amd:
-      device: mi300_1
-      timeout_in_minutes: 40
+      device: mi325_1
+      timeout_in_minutes: 55
       depends_on:
       - image-build-amd
 
 - label: e2e Scheduling (1 GPU)
   key: e2e-scheduling-1-gpu
-  timeout_in_minutes: 30
+  timeout_in_minutes: 35
   device: h200_18gb
   source_file_dependencies:
     - vllm/v1/
@@ -60,24 +60,34 @@ steps:
     - pytest -v -s v1/e2e/general/test_async_scheduling.py
   mirror:
     amd:
-      device: mi250_1
-      timeout_in_minutes: 60
+      device: mi325_1
+      timeout_in_minutes: 70
       depends_on:
       - image-build-amd
 
 - label: e2e Core (1 GPU)
   device: h200_35gb
   key: e2e-core-1-gpu
-  timeout_in_minutes: 30
+  timeout_in_minutes: 40
   source_file_dependencies:
     - vllm/v1/
     - tests/v1/e2e/general/
   commands:
     - pytest -v -s v1/e2e/general --ignore v1/e2e/general/test_async_scheduling.py
+  mirror:
+    amd:
+      device: mi325_1
+      timeout_in_minutes: 60
+      depends_on:
+      - image-build-amd
+      source_file_dependencies:
+      - vllm/v1/
+      - tests/v1/e2e/general/
+      - vllm/platforms/rocm.py
 
 - label: V1 e2e (2 GPUs)
   key: v1-e2e-2-gpus
-  timeout_in_minutes: 60 # TODO: Fix timeout after we have more confidence in the test stability
+  timeout_in_minutes: 25 # TODO: Fix timeout after we have more confidence in the test stability
   optional: true
   num_devices: 2
   source_file_dependencies:
@@ -102,10 +112,15 @@ steps:
   commands:
     # Only run tests that need exactly 2 GPUs
     - pytest -v -s v1/e2e/spec_decode/test_spec_decode.py -k "tensor_parallelism"
+  mirror:
+    amd:
+      device: mi300_2
+      depends_on:
+      - image-build-amd
 
 - label: V1 e2e (4 GPUs)
   key: v1-e2e-4-gpus
-  timeout_in_minutes: 60 # TODO: Fix timeout after we have more confidence in the test stability
+  timeout_in_minutes: 20 # TODO: Fix timeout after we have more confidence in the test stability
   optional: true
   num_devices: 4
   source_file_dependencies:
@@ -133,7 +148,7 @@ steps:
 
 - label: V1 e2e (4xH100)
   key: v1-e2e-4xh100
-  timeout_in_minutes: 60
+  timeout_in_minutes: 35
   device: h100
   num_devices: 4
   optional: true

.buildkite/test_areas/entrypoints.yaml

@@ -4,18 +4,19 @@ depends_on:
 steps:
 - label: Entrypoints Unit Tests
   key: entrypoints-unit-tests
-  timeout_in_minutes: 10
+  timeout_in_minutes: 25
   working_dir: "/vllm-workspace/tests"
   source_file_dependencies:
   - vllm/entrypoints
-  - tests/entrypoints/
+  - tests/entrypoints/unit_tests
+  - tests/entrypoints/weight_transfer
   commands:
-  - pytest -v -s entrypoints/openai/tool_parsers
-  - pytest -v -s entrypoints/ --ignore=entrypoints/llm --ignore=entrypoints/openai --ignore=entrypoints/serve --ignore=entrypoints/test_chat_utils.py  --ignore=entrypoints/pooling --ignore=entrypoints/speech_to_text --ignore=tests/entrypoints/generate
+  - pytest -v -s entrypoints/unit_tests
+  - pytest -v -s entrypoints/weight_transfer
 
 - label: Entrypoints Integration (LLM)
   key: entrypoints-integration-llm
-  timeout_in_minutes: 40
+  timeout_in_minutes: 60
   working_dir: "/vllm-workspace/tests"
   source_file_dependencies:
   - vllm/
@@ -28,90 +29,104 @@ steps:
   mirror:
     amd:
       device: mi325_1
+      # TODO(akaratza): Test after Torch >= 2.12 bump
+      soft_fail: true
       depends_on:
       - image-build-amd
 
-- label: Entrypoints Integration (API Server openai - Part 1)
-  key: entrypoints-integration-api-server-openai-part-1
-  timeout_in_minutes: 50
-  working_dir: "/vllm-workspace/tests"
-  source_file_dependencies:
-  - vllm/
-  - tests/entrypoints/openai
-  - tests/entrypoints/test_chat_utils
-  commands:
-  - export VLLM_WORKER_MULTIPROC_METHOD=spawn
-  - pytest -v -s entrypoints/openai/chat_completion --ignore=entrypoints/openai/chat_completion/test_oot_registration.py
-  mirror:
-    amd:
-      device: mi300_1
-      timeout_in_minutes: 80
-      depends_on:
-      - image-build-amd
-
-- label: Entrypoints Integration (API Server openai - Part 2)
-  key: entrypoints-integration-api-server-openai-part-2
-  timeout_in_minutes: 50
-  working_dir: "/vllm-workspace/tests"
-  source_file_dependencies:
-  - vllm/
-  - tests/entrypoints/openai
-  - tests/entrypoints/test_chat_utils
-  - tests/entrypoints/generate
-  - tests/tool_use
-  commands:
-  - pytest -v -s entrypoints/openai/completion --ignore=entrypoints/openai/completion/test_tensorizer_entrypoint.py
-  - pytest -v -s entrypoints/test_chat_utils.py
-  - pytest -v -s entrypoints/generate
-  - pytest -v -s tool_use
-  mirror:
-    amd:
-      device: mi300_1
-      timeout_in_minutes: 60
-      depends_on:
-      - image-build-amd
-
-- label: Entrypoints Integration (API Server openai - Part 3)
-  key: entrypoints-integration-api-server-openai-part-3
-  timeout_in_minutes: 50
-  device: h200_18gb
-  working_dir: "/vllm-workspace/tests"
-  source_file_dependencies:
-  - vllm/
-  - tests/entrypoints/openai
-  - tests/entrypoints/test_chat_utils
-  commands:
-  - export VLLM_WORKER_MULTIPROC_METHOD=spawn
-  - pytest -v -s entrypoints/openai --ignore=entrypoints/openai/chat_completion --ignore=entrypoints/openai/completion --ignore=entrypoints/openai/correctness/ --ignore=entrypoints/openai/tool_parsers/ --ignore=entrypoints/openai/responses --ignore=entrypoints/openai/test_multi_api_servers.py
-  mirror:
-    amd:
-      device: mi325_1
-      timeout_in_minutes: 60
-      depends_on:
-      - image-build-amd
-
-- label: Entrypoints Integration (API Server 2)
+- label: Entrypoints Integration (API Server)
+  key: entrypoints-integration-api-server
   device: h200_35gb
-  key: entrypoints-integration-api-server-2
-  timeout_in_minutes: 130
+  timeout_in_minutes: 50
   working_dir: "/vllm-workspace/tests"
   source_file_dependencies:
   - vllm/
   - tests/entrypoints/serve
+  - tests/entrypoints/scale_out
   commands:
   - export VLLM_WORKER_MULTIPROC_METHOD=spawn
   - pytest -v -s entrypoints/serve --ignore=entrypoints/serve/dev/rpc
   - PYTHONPATH=/vllm-workspace pytest -v -s entrypoints/serve/dev/rpc
+  - pytest -v -s entrypoints/scale_out
   mirror:
     amd:
-      device: mi300_1
+      device: mi325_1
       depends_on:
       - image-build-amd
 
+- label: Entrypoints Integration (API Server OpenAI - Part 1)
+  key: entrypoints-integration-api-server-openai-part-1
+  timeout_in_minutes: 45
+  working_dir: "/vllm-workspace/tests"
+  source_file_dependencies:
+  - vllm/
+  - tests/entrypoints/openai
+  - tests/entrypoints/test_chat_utils
+  commands:
+  - export VLLM_WORKER_MULTIPROC_METHOD=spawn
+  - pytest -v -s entrypoints/openai --ignore=entrypoints/openai/completion --ignore=entrypoints/openai/chat_completion --ignore=entrypoints/openai/responses --ignore=entrypoints/openai/correctness
+  mirror:
+    amd:
+      device: mi325_1
+      timeout_in_minutes: 65
+      depends_on:
+      - image-build-amd
+
+- label: Entrypoints Integration (API Server OpenAI - Part 2)
+  key: entrypoints-integration-api-server-openai-part-2
+  timeout_in_minutes: 45
+  working_dir: "/vllm-workspace/tests"
+  source_file_dependencies:
+  - vllm/
+  - tests/entrypoints/openai
+  - tests/entrypoints/test_chat_utils
+  commands:
+  - export VLLM_WORKER_MULTIPROC_METHOD=spawn
+  - pytest -v -s entrypoints/openai/chat_completion
+  - pytest -v -s entrypoints/openai/completion --ignore=entrypoints/openai/completion/test_tensorizer_entrypoint.py
+  mirror:
+    amd:
+      device: mi325_1
+      timeout_in_minutes: 80
+      depends_on:
+      - image-build-amd
+
+- label: Entrypoints Integration (API Server Generate)
+  key: entrypoints-integration-api-server-generate
+  timeout_in_minutes: 50
+  working_dir: "/vllm-workspace/tests"
+  source_file_dependencies:
+  - vllm/
+  - tests/tool_use
+  - tests/entrypoints/tool_parsers
+  - tests/entrypoints/anthropic
+  - tests/entrypoints/generate
+  commands:
+  - pytest -v -s tool_use
+  - pytest -v -s entrypoints/tool_parsers
+  - pytest -v -s entrypoints/generate
+  - pytest -v -s entrypoints/anthropic
+  mirror:
+    amd:
+      device: mi325_1
+      timeout_in_minutes: 65
+      depends_on:
+      - image-build-amd
+
+- label: Entrypoints Integration (Responses API)
+  key: entrypoints-integration-responses-api
+  timeout_in_minutes: 50
+  working_dir: "/vllm-workspace/tests"
+  source_file_dependencies:
+  - vllm/
+  - tests/entrypoints/openai/responses
+  commands:
+  - pytest -v -s entrypoints/openai/responses
+
 - label: Entrypoints Integration (Speech to Text)
   device: h200_35gb
   key: entrypoints-integration-speech_to_text
-  timeout_in_minutes: 50
+  timeout_in_minutes: 45
   working_dir: "/vllm-workspace/tests"
   source_file_dependencies:
   - vllm/
@@ -120,6 +135,18 @@ steps:
   - export VLLM_WORKER_MULTIPROC_METHOD=spawn
   - pytest -v -s entrypoints/speech_to_text
 
+- label: Entrypoints Integration (Multimodal)
+  device: h200_35gb
+  key: entrypoints-integration-multimodal
+  timeout_in_minutes: 45
+  working_dir: "/vllm-workspace/tests"
+  source_file_dependencies:
+  - vllm/
+  - tests/entrypoints/multimodal
+  commands:
+  - export VLLM_WORKER_MULTIPROC_METHOD=spawn
+  - pytest -v -s entrypoints/multimodal
+
 - label: Entrypoints Integration (Pooling)
   key: entrypoints-integration-pooling
   timeout_in_minutes: 50
@@ -131,19 +158,9 @@ steps:
   - export VLLM_WORKER_MULTIPROC_METHOD=spawn
   - pytest -v -s entrypoints/pooling
 
-- label: Entrypoints Integration (Responses API)
-  key: entrypoints-integration-responses-api
-  timeout_in_minutes: 50
-  working_dir: "/vllm-workspace/tests"
-  source_file_dependencies:
-  - vllm/
-  - tests/entrypoints/openai/responses
-  commands:
-  - pytest -v -s entrypoints/openai/responses
-
 - label: OpenAI API Correctness
   key: openai-api-correctness
-  timeout_in_minutes: 30
+  timeout_in_minutes: 20
   device: h200_18gb
   source_file_dependencies:
   - csrc/
@@ -152,13 +169,12 @@ steps:
   - pytest -s entrypoints/openai/correctness/
   mirror:
     amd:
-      device: mi300_1
+      device: mi325_1
       depends_on:
       - image-build-amd
       source_file_dependencies:
       - csrc/
       - vllm/entrypoints/openai/
-      - vllm/model_executor/models/whisper.py
       - vllm/model_executor/layers/
       - vllm/v1/attention/backends/
       - vllm/v1/attention/selector.py

.buildkite/test_areas/expert_parallelism.yaml

@@ -4,7 +4,7 @@ depends_on:
 steps:
 - label: EPLB Algorithm
   key: eplb-algorithm
-  timeout_in_minutes: 15
+  timeout_in_minutes: 20
   device: h200_18gb
   working_dir: "/vllm-workspace/tests"
   source_file_dependencies:
@@ -14,10 +14,20 @@ steps:
   commands:
   - pytest -v -s distributed/test_eplb_algo.py
   - pytest -v -s distributed/test_eplb_utils.py
+  mirror:
+    amd:
+      device: mi300_1
+      depends_on:
+      - image-build-amd
+      source_file_dependencies:
+      - vllm/distributed/eplb
+      - tests/distributed/test_eplb_algo.py
+      - tests/distributed/test_eplb_utils.py
+      - vllm/platforms/rocm.py
 
 - label: EPLB Execution # 17min
   key: eplb-execution
-  timeout_in_minutes: 27
+  timeout_in_minutes: 25
   working_dir: "/vllm-workspace/tests"
   num_devices: 4
   source_file_dependencies:
@@ -29,7 +39,7 @@ steps:
 
 - label: Elastic EP Scaling Test
   key: elastic-ep-scaling-test
-  timeout_in_minutes: 20
+  timeout_in_minutes: 30
   device: h100
   working_dir: "/vllm-workspace/tests"
   num_devices: 4

.buildkite/test_areas/kernels.yaml

@@ -4,7 +4,7 @@ depends_on:
 steps:
 - label: vLLM IR Tests
   key: vllm-ir-tests
-  timeout_in_minutes: 10
+  timeout_in_minutes: 35
   device: h200_18gb
   working_dir: "/vllm-workspace/"
   source_file_dependencies:
@@ -16,17 +16,19 @@ steps:
 
 - label: Kernels Core Operation Test
   key: kernels-core-operation-test
-  timeout_in_minutes: 75
+  timeout_in_minutes: 120
   source_file_dependencies:
   - csrc/
   - tests/kernels/core
   - tests/kernels/test_concat_mla_q.py
+  - tests/kernels/test_fused_qk_norm_rope_gate.py
   commands:
-    - pytest -v -s kernels/core --ignore=kernels/core/test_minimax_reduce_rms.py  kernels/test_concat_mla_q.py
+    - pytest -v -s kernels/core --ignore=kernels/core/test_minimax_reduce_rms.py kernels/test_concat_mla_q.py kernels/test_fused_qk_norm_rope_gate.py --shard-id=$$BUILDKITE_PARALLEL_JOB --num-shards=$$BUILDKITE_PARALLEL_JOB_COUNT
+  parallelism: 3
 
 - label: Kernels MiniMax Reduce RMS Test (2 GPUs)
   key: kernels-minimax-reduce-rms-test-2-gpus
-  timeout_in_minutes: 15
+  timeout_in_minutes: 20
   num_devices: 2
   device: h100
   source_file_dependencies:
@@ -40,18 +42,20 @@ steps:
 
 - label: Deepseek V4 Kernel Test (H100)
   key: deepseek-v4-kernel-test-h100
-  timeout_in_minutes: 15
+  timeout_in_minutes: 30
   device: h100
   source_file_dependencies:
   - csrc/fused_deepseek_v4_qnorm_rope_kv_insert_kernel.cu
   - vllm/models/deepseek_v4/common/ops/
   - tests/kernels/test_fused_deepseek_v4_qnorm_rope_kv_insert.py
+  - tests/kernels/test_top_k_per_row.py # it runs on Blackwell too - some kernels have arch-specific optimizations
   commands:
     - pytest -v -s kernels/test_fused_deepseek_v4_*.py
+    - pytest -v -s kernels/test_top_k_per_row.py
 
 - label: Deepseek V4 Kernel Test (B200)
   key: deepseek-v4-kernel-test-b200
-  timeout_in_minutes: 15
+  timeout_in_minutes: 20
   device: b200-k8s
   source_file_dependencies:
   - csrc/fused_deepseek_v4_qnorm_rope_kv_insert_kernel.cu
@@ -62,7 +66,7 @@ steps:
 
 - label: Kernels Attention Test %N
   key: kernels-attention-test
-  timeout_in_minutes: 35
+  timeout_in_minutes: 65
   source_file_dependencies:
   - csrc/attention/
   - vllm/v1/attention
@@ -73,10 +77,37 @@ steps:
   commands:
     - pytest -v -s kernels/attention --shard-id=$$BUILDKITE_PARALLEL_JOB --num-shards=$$BUILDKITE_PARALLEL_JOB_COUNT
   parallelism: 2
+  mirror:
+    amd:
+      device: mi325_1
+      timeout_in_minutes: 90
+      depends_on:
+      - image-build-amd
+      source_file_dependencies:
+      - csrc/attention/
+      - vllm/v1/attention
+      - vllm/model_executor/layers/attention
+      - tests/kernels/attention
+      - vllm/_aiter_ops.py
+      - vllm/envs.py
+      - vllm/platforms/rocm.py
+
+- label: Kernels Attention DiffKV Test (H100)
+  key: kernels-attention-diffkv-test-h100
+  timeout_in_minutes: 20
+  device: h100
+  num_devices: 1
+  source_file_dependencies:
+  - vllm/v1/attention/ops/triton_unified_attention_diffkv.py
+  - vllm/v1/attention/backends/triton_attn_diffkv.py
+  - vllm/v1/attention/backends/flash_attn_diffkv.py
+  - tests/kernels/attention/test_triton_unified_attention_diffkv.py
+  commands:
+    - pytest -v -s kernels/attention/test_triton_unified_attention_diffkv.py
 
 - label: Kernels Quantization Test %N
   key: kernels-quantization-test
-  timeout_in_minutes: 90
+  timeout_in_minutes: 60
   source_file_dependencies:
   - csrc/quantization/
   - vllm/model_executor/layers/quantization
@@ -86,10 +117,11 @@ steps:
   parallelism: 2
   mirror:
     amd:
-      device: mi300_1
+      device: mi325_1
       source_file_dependencies:
       - csrc/quantization/
       - vllm/model_executor/layers/quantization
+      - vllm/config/
       - tests/kernels/quantization
       - tests/kernels/quantization/test_rocm_skinny_gemms.py
       - vllm/_aiter_ops.py
@@ -100,7 +132,7 @@ steps:
 
 - label: Kernels MoE Test %N
   key: kernels-moe-test
-  timeout_in_minutes: 25
+  timeout_in_minutes: 50
   source_file_dependencies:
   - csrc/quantization/cutlass_w8a8/moe/
   - csrc/moe/
@@ -113,10 +145,26 @@ steps:
     - pytest -v -s kernels/moe --ignore=kernels/moe/test_modular_oai_triton_moe.py --shard-id=$$BUILDKITE_PARALLEL_JOB --num-shards=$$BUILDKITE_PARALLEL_JOB_COUNT
     - pytest -v -s kernels/moe/test_modular_oai_triton_moe.py --shard-id=$$BUILDKITE_PARALLEL_JOB --num-shards=$$BUILDKITE_PARALLEL_JOB_COUNT
   parallelism: 5
+  mirror:
+    amd:
+      device: mi325_1
+      timeout_in_minutes: 65
+      source_file_dependencies:
+      - csrc/quantization/cutlass_w8a8/moe/
+      - csrc/moe/
+      - tests/kernels/moe
+      - vllm/model_executor/layers/fused_moe/
+      - vllm/distributed/device_communicators/
+      - vllm/envs.py
+      - vllm/config
+      - vllm/_aiter_ops.py
+      - vllm/platforms/rocm.py
+      depends_on:
+      - image-build-amd
 
 - label: Kernels Mamba Test
   key: kernels-mamba-test
-  timeout_in_minutes: 45
+  timeout_in_minutes: 40
   source_file_dependencies:
   - csrc/mamba/
   - tests/kernels/mamba
@@ -125,7 +173,7 @@ steps:
     - pytest -v -s kernels/mamba
 
 - label: Kernels KDA Test
-  timeout_in_minutes: 20
+  timeout_in_minutes: 25
   device: h200_18gb
   source_file_dependencies:
   - vllm/model_executor/layers/fla/ops/kda.py
@@ -137,7 +185,7 @@ steps:
 
 - label: Kernels DeepGEMM Test (H100)
   key: kernels-deepgemm-test-h100
-  timeout_in_minutes: 45
+  timeout_in_minutes: 35
   device: h100
   num_devices: 1
   source_file_dependencies:
@@ -164,7 +212,7 @@ steps:
 
 - label: Kernels (B200)
   key: kernels-b200
-  timeout_in_minutes: 30
+  timeout_in_minutes: 80
   working_dir: "/vllm-workspace/"
   device: b200-k8s
   # optional: true
@@ -217,19 +265,20 @@ steps:
 
 - label: Kernels Helion Test
   key: kernels-helion-test
-  timeout_in_minutes: 30
+  timeout_in_minutes: 115
   device: h100
   source_file_dependencies:
   - vllm/utils/import_utils.py
   - tests/kernels/helion/
   commands:
-    - pip install helion==1.0.0
-    - pytest -v -s kernels/helion/
+    - pip install helion==1.1.0
+    - pytest -v -s kernels/helion/ --shard-id=$$BUILDKITE_PARALLEL_JOB --num-shards=$$BUILDKITE_PARALLEL_JOB_COUNT
+  parallelism: 2
 
  
-- label: Kernels FP8 MoE Test (1 H100)
-  key: kernels-fp8-moe-test-1-h100
-  timeout_in_minutes: 90
+- label: Kernels FP8 MoE Test (1xH100)
+  key: kernels-fp8-moe-test-1xh100
+  timeout_in_minutes: 40
   device: h100
   num_devices: 1
   optional: true
@@ -244,9 +293,9 @@ steps:
     - pytest -v -s kernels/moe/test_triton_moe_no_act_mul.py
     - pytest -v -s kernels/moe/test_triton_moe_ptpc_fp8.py
 
-- label: Kernels FP8 MoE Test (2 H100s)
-  key: kernels-fp8-moe-test-2-h100s
-  timeout_in_minutes: 90
+- label: Kernels FP8 MoE Test (2xH100)
+  key: kernels-fp8-moe-test-2xh100
+  timeout_in_minutes: 45
   device: h100
   num_devices: 2
   optional: true
@@ -256,7 +305,7 @@ steps:
 
 - label: Kernels Fp4 MoE Test (B200)
   key: kernels-fp4-moe-test-b200
-  timeout_in_minutes: 60
+  timeout_in_minutes: 25
   device: b200-k8s
   num_devices: 1
   optional: true
@@ -269,7 +318,7 @@ steps:
 
 - label: Kernels FusedMoE Layer Test (2 H100s)
   key: kernels-fusedmoe-layer-test-2-h100s
-  timeout_in_minutes: 90
+  timeout_in_minutes: 30
   device: h100
   num_devices: 2
   source_file_dependencies:
@@ -299,3 +348,4 @@ steps:
   - vllm/config
   commands:
     - pytest -v -s kernels/moe/test_moe_layer.py
+    - pytest -v -s kernels/moe/test_deepep_v2_moe.py

.buildkite/test_areas/lm_eval.yaml

@@ -5,7 +5,7 @@ steps:
 - label: LM Eval Small Models
   device: h200_35gb
   key: lm-eval-small-models
-  timeout_in_minutes: 75
+  timeout_in_minutes: 45
   source_file_dependencies:
   - csrc/
   - vllm/model_executor/layers/quantization
@@ -14,7 +14,7 @@ steps:
   - pytest -s -v evals/gsm8k/test_gsm8k_correctness.py --config-list-file=configs/models-small.txt
   mirror:
     amd:
-      device: mi300_1
+      device: mi325_1
       timeout_in_minutes: 55
       depends_on:
       - image-build-amd
@@ -28,7 +28,8 @@ steps:
       - vllm/_aiter_ops.py
       - vllm/platforms/rocm.py
 
-# - label: LM Eval Large Models (4 GPUs)(A100)
+# - label: LM Eval Large Models (4xA100)
+#   key: lm-eval-large-models-4xa100
 #   device: a100
 #   optional: true
 #   num_devices: 4
@@ -40,8 +41,8 @@ steps:
 #   - export VLLM_WORKER_MULTIPROC_METHOD=spawn
 #   - pytest -s -v test_lm_eval_correctness.py --config-list-file=configs/models-large.txt --tp-size=4
 
-- label: LM Eval Large Models (4 GPUs)(H100)
-  key: lm-eval-large-models-4-gpus-h100
+- label: LM Eval Large Models (4xH100)
+  key: lm-eval-large-models-4xh100
   device: h100
   optional: true
   num_devices: 4
@@ -53,9 +54,9 @@ steps:
     - export VLLM_USE_DEEP_GEMM=0  # We found Triton is faster than DeepGEMM for H100
     - pytest -s -v test_lm_eval_correctness.py --config-list-file=configs/models-large-hopper.txt --tp-size=4
 
-- label: LM Eval Small Models (B200)
-  key: lm-eval-small-models-b200
-  timeout_in_minutes: 120
+- label: LM Eval Small Models (1xB200)
+  key: lm-eval-small-models-1xb200
+  timeout_in_minutes: 50
   device: b200-k8s
   optional: true
   source_file_dependencies:
@@ -64,10 +65,23 @@ steps:
   commands:
   - pytest -s -v evals/gsm8k/test_gsm8k_correctness.py --config-list-file=configs/models-blackwell.txt
 
-- label: LM Eval Large Models (B200, EP)
-  key: lm-eval-large-models-b200-ep
+- label: LM Eval Small Models Distributed (2xB200)
+  key: lm-eval-small-models-distributed-2xb200
   timeout_in_minutes: 120
   device: b200-k8s
+  num_devices: 2
+  optional: true
+  source_file_dependencies:
+  - csrc/
+  - vllm/model_executor/layers/quantization
+  autorun_on_main: true
+  commands:
+  - pytest -s -v evals/gsm8k/test_gsm8k_correctness.py --config-list-file=configs/models-small-tp.txt
+
+- label: LM Eval Large Models EP (2xB200)
+  key: lm-eval-large-models-ep-2xb200
+  timeout_in_minutes: 60
+  device: b200-k8s
   optional: true
   num_devices: 2
   source_file_dependencies:
@@ -76,9 +90,9 @@ steps:
   commands:
   - pytest -s -v evals/gsm8k/test_gsm8k_correctness.py --config-list-file=configs/models-blackwell-ep.txt
 
-- label: LM Eval Qwen3.5 Models (B200)
-  key: lm-eval-qwen3-5-models-b200
-  timeout_in_minutes: 120
+- label: LM Eval Qwen3.5 Models (2xB200)
+  key: lm-eval-qwen3-5-models-2xb200
+  timeout_in_minutes: 45
   device: b200-k8s
   optional: true
   num_devices: 2
@@ -93,14 +107,24 @@ steps:
   commands:
   - pytest -s -v evals/gsm8k/test_gsm8k_correctness.py --config-list-file=configs/models-qwen35-blackwell.txt
 
-- label: LM Eval Large Models (H200)
-  key: lm-eval-large-models-h200
-  timeout_in_minutes: 60
+- label: LM Eval Large Models (8xH200)
+  key: lm-eval-large-models-8xh200
+  timeout_in_minutes: 50
   device: h200
   optional: true
   num_devices: 8
   commands:
     - pytest -s -v evals/gsm8k/test_gsm8k_correctness.py --config-list-file=configs/models-h200.txt
+  mirror:
+    amd:
+      device: mi300_8
+      timeout_in_minutes: 60
+      depends_on:
+      - image-build-amd
+      commands:
+      - export VLLM_WORKER_MULTIPROC_METHOD=spawn
+      - export PYTORCH_ROCM_ARCH=gfx942 # Limit Quark compilation to save time
+      - pytest -s -v evals/gsm8k/test_gsm8k_correctness.py --config-list-file=configs/models-mi3xx.txt
 
 - label: MoE Refactor Integration Test (H100 - TEMPORARY)
   key: moe-refactor-integration-test-h100-temporary
@@ -126,10 +150,101 @@ steps:
   commands:
     - pytest -s -v evals/gsm8k/test_gsm8k_correctness.py --config-list-file=evals/gsm8k/configs/moe-refactor-dp-ep/config-b200.txt
 
+- label: LM Eval Humming f16 (A100 - TEMPORARY)
+  key: lm-eval-humming-f16-a100
+  timeout_in_minutes: 75
+  device: a100
+  optional: true
+  num_devices: 1
+  source_file_dependencies:
+  - vllm/model_executor/layers/quantization/humming.py
+  - vllm/model_executor/layers/quantization/utils/humming_utils.py
+  - vllm/model_executor/layers/fused_moe/experts/fused_humming_moe.py
+  - vllm/model_executor/layers/fused_moe/oracle/
+  - vllm/model_executor/kernels/linear/
+  commands:
+  - pytest -s -v evals/gsm8k/test_gsm8k_correctness.py --config-list-file=evals/gsm8k/configs/humming/config.txt
+
+- label: LM Eval Humming Act int8 (A100 - TEMPORARY)
+  key: lm-eval-humming-act-a100
+  timeout_in_minutes: 45
+  device: a100
+  optional: true
+  num_devices: 1
+  source_file_dependencies:
+  - vllm/model_executor/layers/quantization/humming.py
+  - vllm/model_executor/layers/quantization/utils/humming_utils.py
+  - vllm/model_executor/layers/fused_moe/experts/fused_humming_moe.py
+  - vllm/model_executor/layers/fused_moe/oracle/
+  - vllm/model_executor/kernels/linear/
+  commands:
+  - pytest -s -v evals/gsm8k/test_gsm8k_correctness.py --config-list-file=evals/gsm8k/configs/humming/config-act-int8.txt
+
+- label: LM Eval Humming f16 (H100 - TEMPORARY)
+  key: lm-eval-humming-f16-h100
+  timeout_in_minutes: 70
+  device: h100
+  optional: true
+  num_devices: 1
+  source_file_dependencies:
+  - vllm/model_executor/layers/quantization/humming.py
+  - vllm/model_executor/layers/quantization/utils/humming_utils.py
+  - vllm/model_executor/layers/fused_moe/experts/fused_humming_moe.py
+  - vllm/model_executor/layers/fused_moe/oracle/
+  - vllm/model_executor/kernels/linear/
+  commands:
+  - pytest -s -v evals/gsm8k/test_gsm8k_correctness.py --config-list-file=evals/gsm8k/configs/humming/config.txt
+
+- label: LM Eval Humming Act fp8/int8 (H100 - TEMPORARY)
+  key: lm-eval-humming-act-h100
+  timeout_in_minutes: 70
+  device: h100
+  optional: true
+  num_devices: 1
+  source_file_dependencies:
+  - vllm/model_executor/layers/quantization/humming.py
+  - vllm/model_executor/layers/quantization/utils/humming_utils.py
+  - vllm/model_executor/layers/fused_moe/experts/fused_humming_moe.py
+  - vllm/model_executor/layers/fused_moe/oracle/
+  - vllm/model_executor/kernels/linear/
+  commands:
+  - pytest -s -v evals/gsm8k/test_gsm8k_correctness.py --config-list-file=evals/gsm8k/configs/humming/config-act-fp8.txt
+  - pytest -s -v evals/gsm8k/test_gsm8k_correctness.py --config-list-file=evals/gsm8k/configs/humming/config-act-int8.txt
+
+- label: LM Eval Humming f16 (B200 - TEMPORARY)
+  key: lm-eval-humming-f16-b200
+  timeout_in_minutes: 50
+  device: b200-k8s
+  optional: true
+  num_devices: 1
+  source_file_dependencies:
+  - vllm/model_executor/layers/quantization/humming.py
+  - vllm/model_executor/layers/quantization/utils/humming_utils.py
+  - vllm/model_executor/layers/fused_moe/experts/fused_humming_moe.py
+  - vllm/model_executor/layers/fused_moe/oracle/
+  - vllm/model_executor/kernels/linear/
+  commands:
+  - pytest -s -v evals/gsm8k/test_gsm8k_correctness.py --config-list-file=evals/gsm8k/configs/humming/config.txt
+
+- label: LM Eval Humming Act fp8/int8 (B200 - TEMPORARY)
+  key: lm-eval-humming-act-b200
+  timeout_in_minutes: 50
+  device: b200-k8s
+  optional: true
+  num_devices: 1
+  source_file_dependencies:
+  - vllm/model_executor/layers/quantization/humming.py
+  - vllm/model_executor/layers/quantization/utils/humming_utils.py
+  - vllm/model_executor/layers/fused_moe/experts/fused_humming_moe.py
+  - vllm/model_executor/layers/fused_moe/oracle/
+  - vllm/model_executor/kernels/linear/
+  commands:
+  - pytest -s -v evals/gsm8k/test_gsm8k_correctness.py --config-list-file=evals/gsm8k/configs/humming/config-act-fp8.txt
+  - pytest -s -v evals/gsm8k/test_gsm8k_correctness.py --config-list-file=evals/gsm8k/configs/humming/config-act-int8.txt
 
 - label: LM Eval TurboQuant KV Cache
   key: lm-eval-turboquant-kv-cache
-  timeout_in_minutes: 75
+  timeout_in_minutes: 55
   device: h200_18gb
   source_file_dependencies:
   - vllm/model_executor/layers/quantization/turboquant/
@@ -139,9 +254,9 @@ steps:
   commands:
   - pytest -s -v evals/gsm8k/test_gsm8k_correctness.py --config-list-file=evals/gsm8k/configs/models-turboquant.txt
 
-- label: GPQA Eval (GPT-OSS) (H100)
-  key: gpqa-eval-gpt-oss-h100
-  timeout_in_minutes: 120
+- label: GPQA Eval (GPT-OSS) (2xH100)
+  key: gpqa-eval-gpt-oss-2xh100
+  timeout_in_minutes: 35
   device: h100
   optional: true
   num_devices: 2
@@ -153,9 +268,9 @@ steps:
     - uv pip install --system 'gpt-oss[eval]==0.0.5'
     - pytest -s -v evals/gpt_oss/test_gpqa_correctness.py --config-list-file=configs/models-h100.txt
 
-- label: GPQA Eval (GPT-OSS) (B200)
-  key: gpqa-eval-gpt-oss-b200
-  timeout_in_minutes: 120
+- label: GPQA Eval (GPT-OSS) (2xB200)
+  key: gpqa-eval-gpt-oss-2xb200
+  timeout_in_minutes: 30
   device: b200-k8s
   optional: true
   num_devices: 2
@@ -167,9 +282,66 @@ steps:
     - uv pip install --system 'gpt-oss[eval]==0.0.5'
     - pytest -s -v evals/gpt_oss/test_gpqa_correctness.py --config-list-file=configs/models-b200.txt
 
+- label: GPQA Eval (GPT-OSS) (DGX Spark)
+  key: gpqa-eval-gpt-oss-spark
+  timeout_in_minutes: 35
+  device: dgx-spark
+  optional: true
+  num_devices: 1
+  depends_on:
+  - arm64-image-build
+  source_file_dependencies:
+  - csrc/
+  - vllm/model_executor/layers/quantization
+  - tests/evals/gpt_oss/
+  commands:
+    - uv pip install --system 'gpt-oss[eval]==0.0.5'
+    - pytest -s -v evals/gpt_oss/test_gpqa_correctness.py --config-list-file=configs/models-spark.txt
+
+- label: LM Eval KV-Offload (1xH200)
+  key: kv-offload-small
+  timeout_in_minutes: 30
+  device: h200_35gb
+  source_file_dependencies:
+  - vllm/distributed/kv_transfer/kv_connector/v1/offloading/
+  - vllm/distributed/kv_transfer/kv_connector/v1/simple_cpu_offload_connector.py
+  - vllm/v1/kv_offload/
+  - vllm/v1/simple_kv_offload/
+  - tests/evals/gsm8k/test_gsm8k_offloading.py
+  commands:
+  - pytest -s -v evals/gsm8k/test_gsm8k_offloading.py -k "nemotron-h-8b or gemma-4-e4b-it"
+
+- label: LM Eval KV-Offload (2xH100)
+  key: kv-offload-medium
+  timeout_in_minutes: 30
+  device: h100
+  num_devices: 2
+  source_file_dependencies:
+  - vllm/distributed/kv_transfer/kv_connector/v1/offloading/
+  - vllm/distributed/kv_transfer/kv_connector/v1/simple_cpu_offload_connector.py
+  - vllm/v1/kv_offload/
+  - vllm/v1/simple_kv_offload/
+  - tests/evals/gsm8k/test_gsm8k_offloading.py
+  commands:
+  - pytest -s -v evals/gsm8k/test_gsm8k_offloading.py -k "qwen3.5-35b"
+
+- label: LM Eval KV-Offload (4xH100)
+  key: kv-offload-large
+  timeout_in_minutes: 40
+  device: h100
+  num_devices: 4
+  source_file_dependencies:
+  - vllm/distributed/kv_transfer/kv_connector/v1/offloading/
+  - vllm/distributed/kv_transfer/kv_connector/v1/simple_cpu_offload_connector.py
+  - vllm/v1/kv_offload/
+  - vllm/v1/simple_kv_offload/
+  - tests/evals/gsm8k/test_gsm8k_offloading.py
+  commands:
+  - pytest -s -v evals/gsm8k/test_gsm8k_offloading.py -k "deepseek-v4-flash"
+
 - label: MRCR Eval Small Models
   device: h200_35gb
-  timeout_in_minutes: 30
+  timeout_in_minutes: 25
   source_file_dependencies:
   - tests/evals/mrcr/
   commands:

.buildkite/test_areas/lora.yaml

@@ -5,18 +5,29 @@ steps:
 - label: LoRA %N
   device: h200_35gb
   key: lora
-  timeout_in_minutes: 30
+  timeout_in_minutes: 40
   source_file_dependencies:
   - vllm/lora
   - tests/lora
   commands:
     - pytest -v -s lora --shard-id=$$BUILDKITE_PARALLEL_JOB --num-shards=$$BUILDKITE_PARALLEL_JOB_COUNT --ignore=lora/test_chatglm3_tp.py --ignore=lora/test_llama_tp.py --ignore=lora/test_qwen3_with_multi_loras.py --ignore=lora/test_olmoe_tp.py --ignore=lora/test_deepseekv2_tp.py --ignore=lora/test_gptoss_tp.py --ignore=lora/test_qwen3moe_tp.py --ignore=lora/test_qwen35_densemodel_lora.py 
   parallelism: 4
+  mirror:
+    amd:
+      device: mi325_1
+      working_dir: "/vllm-workspace/tests"
+      timeout_in_minutes: 65
+      source_file_dependencies:
+      - vllm/lora
+      - tests/lora
+      - vllm/platforms/rocm.py
+      depends_on:
+      - image-build-amd
 
 
 - label: LoRA TP (Distributed)
   key: lora-tp-distributed
-  timeout_in_minutes: 30
+  timeout_in_minutes: 60
   num_devices: 4
   source_file_dependencies:
   - vllm/lora

.buildkite/test_areas/misc.yaml

@@ -5,7 +5,7 @@ steps:
 - label: V1 Spec Decode
   device: h200_35gb
   key: v1-spec-decode
-  timeout_in_minutes: 30
+  timeout_in_minutes: 40
   source_file_dependencies:
     - vllm/config/
     - vllm/distributed/
@@ -21,10 +21,16 @@ steps:
     - export VLLM_WORKER_MULTIPROC_METHOD=spawn
     # TODO: create another `optional` test group for slow tests
     - pytest -v -s -m 'not slow_test' v1/spec_decode
+  mirror:
+    amd:
+      device: mi300_1
+      timeout_in_minutes: 75
+      depends_on:
+      - image-build-amd
 
 - label: V1 Sample + Logits
   key: v1-sample-logits
-  timeout_in_minutes: 30
+  timeout_in_minutes: 45
   device: h200_18gb
   source_file_dependencies:
     - vllm/config/
@@ -58,7 +64,7 @@ steps:
 
 - label: V1 Core + KV + Metrics
   key: v1-core-kv-metrics
-  timeout_in_minutes: 30
+  timeout_in_minutes: 60
   source_file_dependencies:
     - vllm/config/
     - vllm/distributed/
@@ -83,6 +89,7 @@ steps:
     - tests/v1/simple_kv_offload
     - tests/v1/worker
     - tests/v1/kv_connector/unit
+    - tests/v1/ec_connector/unit
     - tests/v1/metrics
     - tests/entrypoints/openai/correctness/test_lmeval.py
   commands:
@@ -95,10 +102,17 @@ steps:
     - pytest -v -s v1/simple_kv_offload
     - pytest -v -s v1/worker
     - pytest -v -s -m 'not cpu_test' v1/kv_connector/unit
+    - pytest -v -s -m 'not cpu_test' v1/ec_connector/unit
     - pytest -v -s -m 'not cpu_test' v1/metrics
     # Integration test for streaming correctness (requires special branch).
-    - pip install -U git+https://github.com/robertgshaw2-redhat/lm-evaluation-harness.git@streaming-api
+    - pip install -U git+https://github.com/vllm-project/lm-evaluation-harness.git@streaming-api
     - pytest -v -s entrypoints/openai/correctness/test_lmeval.py::test_lm_eval_accuracy_v1_engine
+  mirror:
+    amd:
+      device: mi325_1
+      timeout_in_minutes: 75
+      depends_on:
+      - image-build-amd
 
 - label: V1 Others (CPU)
   key: v1-others-cpu
@@ -138,14 +152,29 @@ steps:
     - vllm/v1/spec_decode/extract_hidden_states.py
     - vllm/model_executor/models/extract_hidden_states.py
     - vllm/transformers_utils/configs/extract_hidden_states.py
+    - vllm/distributed/kv_transfer/kv_connector/v1/example_hidden_states_connector.py
     - tests/v1/kv_connector/extract_hidden_states_integration
   commands:
     - export VLLM_WORKER_MULTIPROC_METHOD=spawn
     - pytest -v -s v1/kv_connector/extract_hidden_states_integration
 
+- label: Extract Hidden States Integration (2 GPUs)
+  key: extract-hidden-states-integration-2-gpus
+  timeout_in_minutes: 20
+  num_devices: 2
+  source_file_dependencies:
+    - vllm/v1/spec_decode/extract_hidden_states.py
+    - vllm/model_executor/models/extract_hidden_states.py
+    - vllm/transformers_utils/configs/extract_hidden_states.py
+    - vllm/distributed/kv_transfer/kv_connector/v1/example_hidden_states_connector.py
+    - tests/v1/kv_connector/extract_hidden_states_integration
+  commands:
+    - export VLLM_WORKER_MULTIPROC_METHOD=spawn
+    - pytest -v -s -m 'distributed' v1/kv_connector/extract_hidden_states_integration
+
 - label: Regression
   key: regression
-  timeout_in_minutes: 20
+  timeout_in_minutes: 30
   device: h200_18gb
   source_file_dependencies:
   - vllm/config/
@@ -161,14 +190,14 @@ steps:
   - vllm/v1/
   - tests/test_regression
   commands:
-  - pip install modelscope
+  - pip install 'modelscope<1.38'
   - pytest -v -s test_regression.py
   working_dir: "/vllm-workspace/tests" # optional
 
 - label: Examples
   device: h200_35gb
   key: examples
-  timeout_in_minutes: 45
+  timeout_in_minutes: 40
   working_dir: "/vllm-workspace/examples"
   source_file_dependencies:
   - vllm/entrypoints
@@ -197,10 +226,20 @@ steps:
     - python3 features/speculative_decoding/spec_decode_offline.py --test --method eagle --num_spec_tokens 3 --dataset-name hf --dataset-path philschmid/mt-bench --num-prompts 80 --temp 0 --top-p 1.0 --top-k -1 --tp 1 --enable-chunked-prefill --max-model-len 2048
     # https://github.com/vllm-project/vllm/pull/26682 uses slightly more memory in PyTorch 2.9+ causing this test to OOM in 1xL4 GPU
     - python3 features/speculative_decoding/spec_decode_offline.py --test --method eagle3 --num_spec_tokens 3 --dataset-name hf --dataset-path philschmid/mt-bench --num-prompts 80 --temp 0 --top-p 1.0 --top-k -1 --tp 1 --enable-chunked-prefill --max-model-len 1536
+  mirror:
+    amd:
+      device: mi325_1
+      source_file_dependencies:
+      - vllm/entrypoints
+      - vllm/multimodal
+      - examples/
+      - vllm/platforms/rocm.py
+      depends_on:
+      - image-build-amd
 
 - label: Metrics, Tracing (2 GPUs)
   key: metrics-tracing-2-gpus
-  timeout_in_minutes: 20
+  timeout_in_minutes: 25
   num_devices: 2
   source_file_dependencies:
   - vllm/config/
@@ -223,6 +262,12 @@ steps:
       'opentelemetry-exporter-otlp>=1.26.0' \
       'opentelemetry-semantic-conventions-ai>=0.4.1'"
   - pytest -v -s v1/tracing
+  mirror:
+    amd:
+      device: mi325_2
+      depends_on:
+      - image-build-amd
+      optional: true
 
 - label: Python-only Installation
   key: python-only-installation
@@ -235,11 +280,21 @@ steps:
   - setup.py
   commands:
   - bash standalone_tests/python_only_compile.sh
+  mirror:
+    amd:
+      device: mi325_1
+      timeout_in_minutes: 45
+      depends_on:
+      - image-build-amd
+      source_file_dependencies:
+      - tests/standalone_tests/python_only_compile.sh
+      - setup.py
+      - vllm/platforms/rocm.py
 
 - label: Async Engine, Inputs, Utils, Worker
   device: h200_35gb
   key: async-engine-inputs-utils-worker
-  timeout_in_minutes: 50
+  timeout_in_minutes: 25
   source_file_dependencies:
   - vllm/assets/
   - vllm/config/
@@ -266,7 +321,7 @@ steps:
   key: async-engine-inputs-utils-worker-config-cpu
   depends_on:
   - image-build-cpu
-  timeout_in_minutes: 30
+  timeout_in_minutes: 65
   source_file_dependencies:
   - vllm/assets/
   - vllm/config/
@@ -293,38 +348,42 @@ steps:
   - vllm/transformers_utils/
   - vllm/utils/
   - vllm/v1/
+  - tests/test_envs.py
   - tests/test_inputs.py
   - tests/test_outputs.py
   - tests/test_pooling_params.py
   - tests/test_ray_env.py
+  - tests/test_sampling_params.py
   - tests/multimodal
   - tests/renderers
   - tests/standalone_tests/lazy_imports.py
-  - tests/tokenizers_
   - tests/reasoning
   - tests/tool_parsers
+  - tests/tokenizers_
   - tests/parser
   - tests/transformers_utils
   - tests/config
   device: cpu-small
   commands:
   - python3 standalone_tests/lazy_imports.py
+  - pytest -v -s test_envs.py
   - pytest -v -s test_inputs.py
   - pytest -v -s test_outputs.py
   - pytest -v -s test_pooling_params.py
   - pytest -v -s test_ray_env.py
+  - pytest -v -s test_sampling_params.py
   - pytest -v -s -m 'cpu_test' multimodal
   - pytest -v -s renderers
-  - pytest -v -s tokenizers_
-  - pytest -v -s reasoning --ignore=reasoning/test_seedoss_reasoning_parser.py --ignore=reasoning/test_glm4_moe_reasoning_parser.py
+  - pytest -v -s reasoning
   - pytest -v -s tool_parsers
+  - pytest -v -s tokenizers_
   - pytest -v -s parser
   - pytest -v -s transformers_utils
   - pytest -v -s config
 
 - label: Batch Invariance (A100)
   key: batch-invariance-a100
-  timeout_in_minutes: 30
+  timeout_in_minutes: 40
   device: a100
   source_file_dependencies:
     - vllm/v1/attention
@@ -338,7 +397,7 @@ steps:
 
 - label: Batch Invariance (H100)
   key: batch-invariance-h100
-  timeout_in_minutes: 30
+  timeout_in_minutes: 40
   device: h100
   source_file_dependencies:
     - vllm/v1/attention
@@ -354,7 +413,7 @@ steps:
 
 - label: Batch Invariance (B200)
   key: batch-invariance-b200
-  timeout_in_minutes: 30
+  timeout_in_minutes: 35
   device: b200-k8s
   source_file_dependencies:
     - vllm/v1/attention
@@ -373,7 +432,7 @@ steps:
 - label: Acceptance Length Test (Large Models) # optional
   device: h200_35gb
   key: acceptance-length-test-large-models
-  timeout_in_minutes: 25
+  timeout_in_minutes: 20
   gpu: h100
   optional: true
   num_gpus: 1

.buildkite/test_areas/model_executor.yaml

@@ -4,7 +4,7 @@ depends_on:
 steps:
 - label: Model Executor
   key: model-executor
-  timeout_in_minutes: 35
+  timeout_in_minutes: 45
   source_file_dependencies:
   - vllm/engine/arg_utils.py
   - vllm/config/model.py
@@ -23,3 +23,16 @@ steps:
     # calls that the signal method cannot interrupt.
     - pytest -v -s model_executor -m '(not slow_test)' --timeout=900 --timeout-method=thread
     - pytest -v -s entrypoints/openai/completion/test_tensorizer_entrypoint.py --timeout=900 --timeout-method=thread
+  mirror:
+    amd:
+      device: mi300_1
+      depends_on:
+      - image-build-amd
+      source_file_dependencies:
+      - vllm/engine/arg_utils.py
+      - vllm/config/model.py
+      - vllm/model_executor
+      - tests/model_executor
+      - tests/entrypoints/openai/completion/test_tensorizer_entrypoint.py
+      - vllm/_aiter_ops.py
+      - vllm/platforms/rocm.py

.buildkite/test_areas/model_runner_v2.yaml

@@ -5,7 +5,7 @@ steps:
 - label: Model Runner V2 Core Tests
   device: h200_35gb
   key: model-runner-v2-core-tests
-  timeout_in_minutes: 45
+  timeout_in_minutes: 35
   source_file_dependencies:
   - vllm/v1/worker/gpu/
   - vllm/v1/worker/gpu_worker.py
@@ -18,9 +18,7 @@ steps:
   - set -x
   - export VLLM_USE_V2_MODEL_RUNNER=1
   - pytest -v -s v1/engine/test_llm_engine.py -k "not test_engine_metrics"
-  # This requires eager until we sort out CG correctness issues.
-  # TODO: remove ENFORCE_EAGER here after https://github.com/vllm-project/vllm/pull/32936 is merged.
-  - ENFORCE_EAGER=1 pytest -v -s v1/e2e/general/test_async_scheduling.py -k "not ngram"
+  - pytest -v -s v1/e2e/general/test_async_scheduling.py -k "not ngram"
   - pytest -v -s v1/e2e/general/test_context_length.py
   - pytest -v -s v1/e2e/general/test_min_tokens.py
   # Temporary hack filter to exclude ngram spec decoding based tests.
@@ -29,7 +27,7 @@ steps:
 - label: Model Runner V2 Examples
   device: h200_35gb
   key: model-runner-v2-examples
-  timeout_in_minutes: 45
+  timeout_in_minutes: 35
   working_dir: "/vllm-workspace/examples"
   source_file_dependencies:
     - vllm/v1/worker/gpu/
@@ -65,7 +63,7 @@ steps:
 
 - label: Model Runner V2 Distributed (2 GPUs)
   key: model-runner-v2-distributed-2-gpus
-  timeout_in_minutes: 45
+  timeout_in_minutes: 30
   working_dir: "/vllm-workspace/tests"
   num_devices: 2
   source_file_dependencies:
@@ -86,7 +84,7 @@ steps:
 
 - label: Model Runner V2 Pipeline Parallelism (4 GPUs)
   key: model-runner-v2-pipeline-parallelism-4-gpus
-  timeout_in_minutes: 60
+  timeout_in_minutes: 50
   working_dir: "/vllm-workspace/tests"
   num_devices: 4
   source_file_dependencies:

.buildkite/test_areas/models_basic.yaml

@@ -4,9 +4,8 @@ depends_on:
 steps:
 - label: Basic Models Tests (Initialization)
   key: basic-models-tests-initialization
-  timeout_in_minutes: 45
+  timeout_in_minutes: 25
   device: h200_18gb
-  torch_nightly: true
   source_file_dependencies:
   - vllm/
   - tests/models/test_initialization.py
@@ -14,13 +13,11 @@ steps:
   commands:
     # Run a subset of model initialization tests
     - pytest -v -s models/test_initialization.py::test_can_initialize_small_subset
-  mirror:
-    torch_nightly: {}
 
 - label: Basic Models Tests (Extra Initialization) %N
   device: h200_35gb
   key: basic-models-tests-extra-initialization
-  timeout_in_minutes: 45
+  timeout_in_minutes: 100
   source_file_dependencies:
   - vllm/model_executor/models/
   - tests/models/test_initialization.py
@@ -30,31 +27,35 @@ steps:
     # subset of supported models (the complement of the small subset in the above
     # test.) Also run if model initialization test file is modified
     - pytest -v -s models/test_initialization.py -k 'not test_can_initialize_small_subset' --num-shards=$$BUILDKITE_PARALLEL_JOB_COUNT --shard-id=$$BUILDKITE_PARALLEL_JOB
-  parallelism: 2
-  mirror:
-    torch_nightly: {}
+  parallelism: 4
 
 - label: Basic Models Tests (Other)
   device: h200_35gb
   key: basic-models-tests-other
-  timeout_in_minutes: 45
+  timeout_in_minutes: 35
   source_file_dependencies:
   - vllm/
   - tests/models/test_terratorch.py
-  - tests/models/test_transformers.py
+  - tests/models/transformers/test_backend.py
   - tests/models/test_registry.py
   commands:
-    - pytest -v -s models/test_terratorch.py models/test_transformers.py models/test_registry.py
+    - pytest -v -s models/test_terratorch.py models/transformers/test_backend.py models/test_registry.py
+  mirror:
+    amd:
+      device: mi325_1
+      depends_on:
+      - image-build-amd
 
 - label: Basic Models Test (Other CPU) # 5min
   key: basic-models-test-other-cpu
   depends_on:
   - image-build-cpu
-  timeout_in_minutes: 10
+  timeout_in_minutes: 20
   source_file_dependencies:
   - vllm/
   - tests/models/test_utils.py
   - tests/models/test_vision.py
+  - tests/models/transformers/fusers/
   device: cpu-small
   commands:
-    - pytest -v -s models/test_utils.py models/test_vision.py
+    - pytest -v -s models/test_utils.py models/test_vision.py models/transformers/fusers/

.buildkite/test_areas/models_distributed.yaml

@@ -4,7 +4,7 @@ depends_on:
 steps:
 - label: Distributed Model Tests (2 GPUs)
   key: distributed-model-tests-2-gpus
-  timeout_in_minutes: 50
+  timeout_in_minutes: 60
   working_dir: "/vllm-workspace/tests"
   num_devices: 2
   source_file_dependencies:
@@ -17,7 +17,7 @@ steps:
   - TARGET_TEST_SUITE=L4 pytest basic_correctness/ -v -s -m 'distributed(num_gpus=2)'
   - CUDA_VISIBLE_DEVICES=0,1 pytest -v -s model_executor/model_loader/test_sharded_state_loader.py -m '(not slow_test)'
   # Avoid importing model tests that cause CUDA reinitialization error
-  - pytest models/test_transformers.py -v -s -m 'distributed(num_gpus=2)'
+  - pytest models/transformers/test_backend.py -v -s -m 'distributed(num_gpus=2)'
   - pytest models/language -v -s -m 'distributed(num_gpus=2)'
   - pytest models/multimodal/generation/test_phi4siglip.py -v -s -m 'distributed(num_gpus=2)'
   - pytest models/multimodal -v -s -m 'distributed(num_gpus=2)' --ignore models/multimodal/generation/test_whisper.py --ignore models/multimodal/generation/test_phi4siglip.py

.buildkite/test_areas/models_language.yaml

@@ -4,7 +4,7 @@ depends_on:
 steps:
 - label: Language Models Tests (Standard)
   key: language-models-tests-standard
-  timeout_in_minutes: 25
+  timeout_in_minutes: 30
   device: h200_18gb
   source_file_dependencies:
   - vllm/
@@ -14,11 +14,14 @@ steps:
     - pip freeze | grep -E 'torch'
     - pytest -v -s models/language -m 'core_model and (not slow_test)'
   mirror:
-    torch_nightly: {}
+    amd:
+      device: mi300_1
+      depends_on:
+      - image-build-amd
 
 - label: Language Models Tests (Extra Standard) %N
   key: language-models-tests-extra-standard
-  timeout_in_minutes: 45
+  timeout_in_minutes: 40
   source_file_dependencies:
   - vllm/model_executor/models/
   - tests/models/language/pooling/test_embedding.py
@@ -31,11 +34,25 @@ steps:
     - pytest -v -s models/language -m 'core_model and slow_test' --num-shards=$$BUILDKITE_PARALLEL_JOB_COUNT --shard-id=$$BUILDKITE_PARALLEL_JOB
   parallelism: 2
   mirror:
-    torch_nightly: {}
+    amd:
+      device: mi300_1
+      depends_on:
+      - image-build-amd
+      source_file_dependencies:
+      - vllm/model_executor/models/
+      - vllm/model_executor/model_loader/
+      - vllm/model_executor/layers/
+      - vllm/v1/attention/backends/
+      - vllm/v1/attention/selector.py
+      - tests/models/language/pooling/test_embedding.py
+      - tests/models/language/generation/test_common.py
+      - tests/models/language/pooling/test_classification.py
+      - vllm/_aiter_ops.py
+      - vllm/platforms/rocm.py
 
 - label: Language Models Tests (Hybrid) %N
   key: language-models-tests-hybrid
-  timeout_in_minutes: 75
+  timeout_in_minutes: 65
   source_file_dependencies:
   - vllm/
   - tests/models/language/generation
@@ -48,10 +65,9 @@ steps:
     - pytest -v -s models/language/generation -m hybrid_model --num-shards=$$BUILDKITE_PARALLEL_JOB_COUNT --shard-id=$$BUILDKITE_PARALLEL_JOB
   parallelism: 2
   mirror:
-    torch_nightly: {}
     amd:
       device: mi325_1
-      timeout_in_minutes: 90
+      timeout_in_minutes: 70
       depends_on:
       - image-build-amd
       commands:
@@ -62,7 +78,7 @@ steps:
 - label: Language Models Test (Extended Generation) # 80min
   device: h200_35gb
   key: language-models-test-extended-generation
-  timeout_in_minutes: 110
+  timeout_in_minutes: 65
   optional: true
   source_file_dependencies:
   - vllm/
@@ -76,7 +92,7 @@ steps:
 
 - label: Language Models Test (PPL)
   key: language-models-test-ppl
-  timeout_in_minutes: 110
+  timeout_in_minutes: 30
   device: h200_18gb
   optional: true
   source_file_dependencies:
@@ -88,7 +104,7 @@ steps:
 - label: Language Models Test (Extended Pooling)  # 36min
   device: h200_35gb
   key: language-models-test-extended-pooling
-  timeout_in_minutes: 50
+  timeout_in_minutes: 70
   optional: true
   source_file_dependencies:
   - vllm/
@@ -104,7 +120,7 @@ steps:
 
 - label: Language Models Test (MTEB)
   key: language-models-test-mteb
-  timeout_in_minutes: 110
+  timeout_in_minutes: 45
   device: h200_18gb
   optional: true
   source_file_dependencies:

.buildkite/test_areas/models_multimodal.yaml

@@ -10,93 +10,94 @@ steps:
   - vllm/
   - tests/models/multimodal
   commands:
-    - pip install git+https://github.com/TIGER-AI-Lab/Mantis.git
     - pytest -v -s models/multimodal/generation/test_common.py -m core_model -k "qwen2"
     - pytest -v -s models/multimodal/generation/test_ultravox.py -m core_model
   mirror:
     amd:
-      device: mi300_1
+      device: mi325_1
       depends_on:
       - image-build-amd
 
 - label: "Multi-Modal Models (Standard) 2: qwen3 + gemma"
   key: multi-modal-models-standard-2-qwen3-gemma
-  timeout_in_minutes: 45
+  timeout_in_minutes: 50
   device: h200_18gb
   source_file_dependencies:
   - vllm/
   - tests/models/multimodal
   commands:
-    - pip install git+https://github.com/TIGER-AI-Lab/Mantis.git
     - pytest -v -s models/multimodal/generation/test_common.py -m core_model -k "qwen3 or gemma"
+    - pytest -v -s models/multimodal/generation/test_mm_prefix_lm.py -m core_model
     - pytest -v -s models/multimodal/generation/test_qwen2_5_vl.py -m core_model
-    - pytest -v -s models/multimodal/generation/test_vit_cudagraph.py -m core_model
   mirror:
     amd:
-      device: mi300_1
+      device: mi325_1
       depends_on:
       - image-build-amd
 
 - label: "Multi-Modal Models (Standard) 3: llava + qwen2_vl"
   device: h200_35gb
   key: multi-modal-models-standard-3-llava-qwen2-vl
-  timeout_in_minutes: 45
+  timeout_in_minutes: 40
   source_file_dependencies:
   - vllm/
   - tests/models/multimodal
   commands:
-    - pip install git+https://github.com/TIGER-AI-Lab/Mantis.git
     - pytest -v -s models/multimodal/generation/test_common.py -m core_model -k "not qwen2 and not qwen3 and not gemma"
     - pytest -v -s models/multimodal/generation/test_qwen2_vl.py -m core_model
   mirror:
     amd:
-      device: mi300_1
+      device: mi325_1
       depends_on:
       - image-build-amd
 
 - label: "Multi-Modal Models (Standard) 4: other + whisper"
   device: h200_35gb
   key: multi-modal-models-standard-4-other-whisper
-  timeout_in_minutes: 45
+  timeout_in_minutes: 50
   source_file_dependencies:
   - vllm/
   - tests/models/multimodal
   commands:
-    - pip install git+https://github.com/TIGER-AI-Lab/Mantis.git
-    - pytest -v -s models/multimodal -m core_model --ignore models/multimodal/generation/test_common.py --ignore models/multimodal/generation/test_ultravox.py --ignore models/multimodal/generation/test_qwen2_5_vl.py --ignore models/multimodal/generation/test_qwen2_vl.py --ignore models/multimodal/generation/test_whisper.py  --ignore models/multimodal/generation/test_memory_leak.py --ignore models/multimodal/processing
+    - pytest -v -s models/multimodal -m core_model --ignore models/multimodal/generation/test_common.py --ignore models/multimodal/generation/test_ultravox.py --ignore models/multimodal/generation/test_qwen2_5_vl.py --ignore models/multimodal/generation/test_qwen2_vl.py --ignore models/multimodal/generation/test_whisper.py --ignore models/multimodal/generation/test_mm_prefix_lm.py --ignore models/multimodal/generation/test_memory_leak.py --ignore models/multimodal/generation/test_vit_cudagraph.py --ignore models/multimodal/processing
+    - pytest -v -s models/multimodal/generation/test_vit_cudagraph.py -m core_model
     - pytest models/multimodal/generation/test_memory_leak.py -m core_model
     - cd .. && VLLM_WORKER_MULTIPROC_METHOD=spawn pytest -v -s tests/models/multimodal/generation/test_whisper.py -m core_model  # Otherwise, mp_method="spawn" doesn't work
+  mirror:
+    amd:
+      device: mi325_1
+      depends_on:
+      - image-build-amd
 
-- label: Multi-Modal Processor (CPU)
+- label: Multi-Modal Processor (CPU) %N
   key: multi-modal-processor-cpu
   depends_on:
   - image-build-cpu
-  timeout_in_minutes: 60
+  timeout_in_minutes: 125
   source_file_dependencies:
   - vllm/
   - tests/models/multimodal
   - tests/models/registry.py
   device: cpu-medium
   commands:
-    - pip install git+https://github.com/TIGER-AI-Lab/Mantis.git
-    - pytest -v -s models/multimodal/processing --ignore models/multimodal/processing/test_tensor_schema.py
+    - pytest -v -s models/multimodal/processing --ignore models/multimodal/processing/test_tensor_schema.py --num-shards=$$BUILDKITE_PARALLEL_JOB_COUNT --shard-id=$$BUILDKITE_PARALLEL_JOB
+  parallelism: 4
 
 - label: Multi-Modal Processor # 44min
   key: multi-modal-processor
-  timeout_in_minutes: 60
+  timeout_in_minutes: 65
   device: h200_18gb
   source_file_dependencies:
   - vllm/
   - tests/models/multimodal
   - tests/models/registry.py
   commands:
-    - pip install git+https://github.com/TIGER-AI-Lab/Mantis.git
     - pytest -v -s models/multimodal/processing/test_tensor_schema.py
 
 - label: Multi-Modal Accuracy Eval (Small Models) # 50min
   device: h200_35gb
   key: multi-modal-accuracy-eval-small-models
-  timeout_in_minutes: 70
+  timeout_in_minutes: 30
   working_dir: "/vllm-workspace/.buildkite/lm-eval-harness"
   source_file_dependencies:
   - vllm/multimodal/
@@ -104,6 +105,17 @@ steps:
   - vllm/v1/core/
   commands:
   - pytest -s -v test_lm_eval_correctness.py --config-list-file=configs/models-mm-small.txt --tp-size=1
+  mirror:
+    amd:
+      device: mi300_1
+      depends_on:
+      - image-build-amd
+      source_file_dependencies:
+      - vllm/multimodal/
+      - vllm/inputs/
+      - vllm/v1/core/
+      - vllm/platforms/rocm.py
+      - vllm/model_executor/model_loader/
 
 - label: Multi-Modal Models (Extended Generation 1)
   key: multi-modal-models-extended-generation-1
@@ -113,7 +125,6 @@ steps:
   - tests/models/multimodal/generation
   - tests/models/multimodal/test_mapping.py
   commands:
-    - pip install git+https://github.com/TIGER-AI-Lab/Mantis.git
     - pytest -v -s models/multimodal/generation -m 'not core_model' --ignore models/multimodal/generation/test_common.py
     - pytest -v -s models/multimodal/test_mapping.py
   mirror:
@@ -130,7 +141,6 @@ steps:
   - vllm/
   - tests/models/multimodal/generation
   commands:
-    - pip install git+https://github.com/TIGER-AI-Lab/Mantis.git
     - pytest -v -s models/multimodal/generation/test_common.py -m 'split(group=0) and not core_model'
 
 - label: Multi-Modal Models (Extended Generation 3)
@@ -141,7 +151,6 @@ steps:
   - vllm/
   - tests/models/multimodal/generation
   commands:
-    - pip install git+https://github.com/TIGER-AI-Lab/Mantis.git
     - pytest -v -s models/multimodal/generation/test_common.py -m 'split(group=1) and not core_model'
 
 - label: Multi-Modal Models (Extended Pooling)
@@ -155,8 +164,8 @@ steps:
     - pytest -v -s models/multimodal/pooling -m 'not core_model'
   mirror:
     amd:
-      device: mi300_1
-      timeout_in_minutes: 60
+      device: mi325_1
+      timeout_in_minutes: 75
       depends_on:
       - image-build-amd
       source_file_dependencies:

.buildkite/test_areas/plugins.yaml

@@ -4,7 +4,7 @@ depends_on:
 steps:
 - label: Plugin Tests (2 GPUs)
   key: plugin-tests-2-gpus
-  timeout_in_minutes: 60
+  timeout_in_minutes: 35
   working_dir: "/vllm-workspace/tests"
   num_devices: 2
   source_file_dependencies:
@@ -27,16 +27,39 @@ steps:
   - pip install -e ./plugins/bge_m3_sparse_plugin
   - pytest -v -s plugins_tests/test_bge_m3_sparse_io_processor_plugins.py
   - pip uninstall bge_m3_sparse_plugin -y
+  # test colbert_query io_processor plugin
+  - pip install -e ./plugins/colbert_query_plugin
+  - pytest -v -s plugins_tests/test_colbert_query_io_processor_plugins.py
+  - pip uninstall colbert_query_plugin -y
   # end io_processor plugins test
   # begin stat_logger plugins test
   - pip install -e ./plugins/vllm_add_dummy_stat_logger
   - pytest -v -s plugins_tests/test_stats_logger_plugins.py
   - pip uninstall dummy_stat_logger -y
   # end stat_logger plugins test
+  # begin endpoint plugins test
+  - pip install -e ./plugins/vllm_add_dummy_endpoint_plugin
+  - pytest -v -s plugins_tests/test_endpoint_plugins.py
+  - pip uninstall vllm_add_dummy_endpoint_plugin -y
+  # end endpoint plugins test
   # other tests continue here:
   - pytest -v -s plugins_tests/test_scheduler_plugins.py
   - pip install -e ./plugins/vllm_add_dummy_model
   - pytest -v -s distributed/test_distributed_oot.py
-  - pytest -v -s entrypoints/openai/chat_completion/test_oot_registration.py # it needs a clean process
-  - pytest -v -s models/test_oot_registration.py # it needs a clean process
-  - pytest -v -s plugins/lora_resolvers # unit tests for in-tree lora resolver plugins
+  - pytest -v -s plugins_tests/test_oot_registration_online.py # it needs a clean process
+  - pytest -v -s plugins_tests/test_oot_registration_offline.py # it needs a clean process
+  - pytest -v -s plugins_tests/lora_resolvers # unit tests for in-tree lora resolver plugins
+
+
+- label: GGUF Plugin
+  key: gguf-plugin
+  device: h200_18gb
+  timeout_in_minutes: 30
+  soft_fail: true
+  optional: true
+  source_file_dependencies:
+  - vllm/model_executor/layers/quantization
+  - tests/plugins_tests/test_gguf_plugin.py
+  commands:
+    - pip install "vllm-gguf-plugin >= 0.0.2"
+    - pytest -v -s plugins_tests/gguf

.buildkite/test_areas/pytorch.yaml

@@ -5,7 +5,7 @@ steps:
 - label: PyTorch Compilation Unit Tests
   device: h200_35gb
   key: pytorch-compilation-unit-tests
-  timeout_in_minutes: 10
+  timeout_in_minutes: 90
   source_file_dependencies:
     - vllm/__init__.py
     - vllm/_aiter_ops.py
@@ -78,7 +78,7 @@ steps:
 
 - label: PyTorch Compilation Passes Unit Tests
   key: pytorch-compilation-passes-unit-tests
-  timeout_in_minutes: 20
+  timeout_in_minutes: 45
   source_file_dependencies:
     - vllm/__init__.py
     - vllm/_aiter_ops.py
@@ -107,10 +107,16 @@ steps:
     - tests/compile/passes
   commands:
   - pytest -s -v compile/passes --ignore compile/passes/distributed
+  mirror:
+    amd:
+      device: mi300_1
+      timeout_in_minutes: 65
+      depends_on:
+      - image-build-amd
 
 - label: PyTorch Fullgraph Smoke Test
   key: pytorch-fullgraph-smoke-test
-  timeout_in_minutes: 35
+  timeout_in_minutes: 60
   source_file_dependencies:
   - vllm/__init__.py
   - vllm/_aiter_ops.py
@@ -146,7 +152,7 @@ steps:
 
 - label: PyTorch Fullgraph
   key: pytorch-fullgraph
-  timeout_in_minutes: 30
+  timeout_in_minutes: 40
   device: h200_18gb
   source_file_dependencies:
   - vllm/__init__.py
@@ -189,3 +195,11 @@ steps:
   - requirements/test/nightly-torch.txt
   commands:
   - bash standalone_tests/pytorch_nightly_dependency.sh
+  mirror:
+    amd:
+      device: mi300_1
+      depends_on:
+      - image-build-amd
+      source_file_dependencies:
+      - requirements/test/nightly-torch.txt
+      - vllm/platforms/rocm.py

.buildkite/test_areas/quantization.yaml

@@ -4,7 +4,7 @@ depends_on:
 steps:
 - label: Quantization
   key: quantization
-  timeout_in_minutes: 90
+  timeout_in_minutes: 60
   source_file_dependencies:
   - csrc/
   - vllm/model_executor/layers/quantization
@@ -21,9 +21,21 @@ steps:
   - uv pip install --system conch-triton-kernels
   - VLLM_TEST_FORCE_LOAD_FORMAT=auto pytest -v -s quantization/ --ignore quantization/test_blackwell_moe.py
 
+- label: Quantized Fusions
+  key: quantized-fusions
+  timeout_in_minutes: 20
+  source_file_dependencies:
+  - tests/fusion
+  - vllm/model_executor/layers/fusion
+  - vllm/model_executor/kernels/linear
+  - vllm/model_executor/layers/quantization/compressed_tensors
+  - vllm/model_executor/layers/quantization/modelopt.py
+  commands:
+    - pytest -v -s fusion/
+
 - label: Quantized MoE Test (B200)
   key: quantized-moe-test-b200
-  timeout_in_minutes: 60
+  timeout_in_minutes: 120
   working_dir: "/vllm-workspace/"
   device: b200-k8s
   source_file_dependencies:
@@ -41,7 +53,7 @@ steps:
 
 - label: Quantized Models Test
   key: quantized-models-test
-  timeout_in_minutes: 60
+  timeout_in_minutes: 50
   source_file_dependencies:
   - vllm/model_executor/layers/quantization
   - tests/models/quantization

.buildkite/test_areas/rust_frontend.yaml

@@ -3,7 +3,7 @@ depends_on:
   - image-build
 steps:
 - label: Rust Frontend OpenAI Coverage
-  timeout_in_minutes: 90
+  timeout_in_minutes: 30
   device: h200_18gb
   working_dir: "/vllm-workspace/tests"
   source_file_dependencies:
@@ -15,28 +15,30 @@ steps:
   - tests/utils.py
   - tests/benchmarks/test_serve_cli.py
   - tests/entrypoints/openai/chat_completion/test_chat_completion.py
-  # - tests/entrypoints/openai/chat_completion/test_chat_logit_bias_validation.py
+  - tests/entrypoints/openai/chat_completion/test_chat_logit_bias_validation.py
 
   # - tests/entrypoints/openai/completion/test_prompt_validation.py
   - tests/entrypoints/openai/completion/test_shutdown.py
-  # - tests/entrypoints/openai/test_return_token_ids.py
-  # - tests/entrypoints/openai/test_uds.py
+  - tests/entrypoints/openai/test_return_token_ids.py
+  - tests/entrypoints/openai/test_uds.py
   - tests/v1/sample/test_logprobs_e2e.py
   commands:
   - export VLLM_USE_RUST_FRONTEND=1
   - export VLLM_WORKER_MULTIPROC_METHOD=spawn
   - pytest -v -s benchmarks/test_serve_cli.py -k "not insecure and not (test_bench_serve and not test_bench_serve_chat)"
-  - pytest -v -s entrypoints/openai/chat_completion/test_chat_completion.py
-  # - pytest -v -s entrypoints/openai/chat_completion/test_chat_logit_bias_validation.py -k "not invalid"
+  - pytest -v -s entrypoints/openai/chat_completion/test_chat_completion.py -k "not test_invalid_json_schema and not test_invalid_regex"
+  - pytest -v -s entrypoints/openai/chat_completion/test_chat_logit_bias_validation.py -k "not multiple"
 
   # - pytest -v -s entrypoints/openai/completion/test_prompt_validation.py -k "not prompt_embeds"
   - pytest -v -s entrypoints/openai/completion/test_shutdown.py -k "not engine_failure and not test_abort_timeout_exits_quickly"
-  # - pytest -v -s entrypoints/openai/test_return_token_ids.py
-  # - pytest -v -s entrypoints/openai/test_uds.py
+  # test_comparison streams differently: Rust emits a separate first (prompt_token_ids) chunk and
+  # finish chunk without logprobs, while the test reads `logprobs.tokens` on every chunk.
+  - pytest -v -s entrypoints/openai/test_return_token_ids.py -k "not test_comparison"
+  - pytest -v -s entrypoints/openai/test_uds.py
   - pytest -v -s v1/sample/test_logprobs_e2e.py -k "test_prompt_logprobs_e2e_server"
 
 - label: Rust Frontend Serve/Admin Coverage
-  timeout_in_minutes: 60
+  timeout_in_minutes: 25
   device: h200_18gb
   working_dir: "/vllm-workspace/tests"
   source_file_dependencies:
@@ -45,22 +47,27 @@ steps:
   - vllm/entrypoints/serve/
   - vllm/v1/engine/
   - tests/utils.py
-  # - tests/entrypoints/serve/dev/rpc/test_collective_rpc.py
-  - tests/entrypoints/serve/disagg/test_serving_tokens.py
+  - tests/entrypoints/serve/dev/rpc/test_collective_rpc.py
+  - tests/entrypoints/scale_out/token_in_token_out/test_serving_tokens.py
   - tests/entrypoints/serve/instrumentator/test_basic.py
   - tests/entrypoints/serve/instrumentator/test_metrics.py
   # - tests/entrypoints/serve/dev/test_sleep.py
+  - tests/entrypoints/serve/tokenize/test_tokenization.py
   commands:
   - export VLLM_USE_RUST_FRONTEND=1
   - export VLLM_WORKER_MULTIPROC_METHOD=spawn
-  # - pytest -v -s entrypoints/serve/dev/rpc/test_collective_rpc.py
+  - PYTHONPATH=/vllm-workspace pytest -v -s entrypoints/serve/dev/rpc/test_collective_rpc.py
+  # server_load can be flaky under the Rust frontend; keep it excluded for now.
   - pytest -v -s entrypoints/serve/instrumentator/test_basic.py -k "not show_version and not server_load"
-  - pytest -v -s entrypoints/serve/disagg/test_serving_tokens.py -k "not stream and not lora and not test_generate_logprobs and not stop_string_workflow"
+  # test_generate_logprobs expects Python-style top_logprobs truncation (dedup sampled + cap at max(k, 1)).
+  - pytest -v -s entrypoints/scale_out/token_in_token_out/test_serving_tokens.py -k "not stream and not lora and not test_generate_logprobs and not stop_string_workflow"
   - pytest -v -s entrypoints/serve/instrumentator/test_metrics.py -k "text and not show and not run_batch and not test_metrics_counts and not test_metrics_exist"
   # - pytest -v -s entrypoints/serve/dev/test_sleep.py
+  # /tokenizer_info is not implemented in the Rust frontend (the CLI flag is accepted as a no-op).
+  - pytest -v -s entrypoints/serve/tokenize/test_tokenization.py -k "not tokenizer_info"
 
 - label: Rust Frontend Core Correctness
-  timeout_in_minutes: 30
+  timeout_in_minutes: 20
   device: h200_18gb
   working_dir: "/vllm-workspace/tests"
   source_file_dependencies:
@@ -74,7 +81,7 @@ steps:
   - pytest -s entrypoints/openai/correctness/test_lmeval.py::test_lm_eval_accuracy_v1_engine
 
 - label: Rust Frontend Tool Use
-  timeout_in_minutes: 60
+  timeout_in_minutes: 25
   working_dir: "/vllm-workspace/tests"
   source_file_dependencies:
   - rust/
@@ -88,7 +95,7 @@ steps:
   - pytest -v -s tool_use --ignore=tool_use/mistral --models llama3.2 -k "not test_response_format_with_tool_choice_required and not test_parallel_tool_calls_false and not test_tool_call_and_choice"
 
 - label: Rust Frontend Distributed
-  timeout_in_minutes: 30
+  timeout_in_minutes: 25
   num_devices: 4
   working_dir: "/vllm-workspace/tests"
   source_file_dependencies:
@@ -99,9 +106,13 @@ steps:
   - vllm/v1/engine/
   - vllm/v1/worker/
   - tests/utils.py
+  - tests/v1/distributed/test_external_lb_dp.py
+  - tests/v1/distributed/test_hybrid_lb_dp.py
   - tests/v1/distributed/test_internal_lb_dp.py
   commands:
   - export VLLM_USE_RUST_FRONTEND=1
   - export VLLM_WORKER_MULTIPROC_METHOD=spawn
   - export NCCL_CUMEM_HOST_ENABLE=0
   - TP_SIZE=1 DP_SIZE=4 pytest -v -s v1/distributed/test_internal_lb_dp.py -k "not 4 and not server_info"
+  - TP_SIZE=1 DP_SIZE=2 pytest -v -s v1/distributed/test_external_lb_dp.py -k "not 4 and not server_info"
+  - TP_SIZE=1 DP_SIZE=4 pytest -v -s v1/distributed/test_hybrid_lb_dp.py -k "not 4 and not server_info"

.buildkite/test_areas/rust_frontend_cargo.yaml

@@ -4,7 +4,7 @@ steps:
 - label: Rust Frontend Cargo Style + Clippy
   key: rust-frontend-cargo-style-clippy
   depends_on: []
-  timeout_in_minutes: 30
+  timeout_in_minutes: 20
   device: cpu-medium
   no_plugin: true
   source_file_dependencies:
@@ -18,7 +18,7 @@ steps:
 - label: Rust Frontend Cargo Tests
   key: rust-frontend-cargo-tests
   depends_on: []
-  timeout_in_minutes: 30
+  timeout_in_minutes: 20
   device: cpu-medium
   no_plugin: true
   source_file_dependencies:

.buildkite/test_areas/samplers.yaml

@@ -5,7 +5,7 @@ steps:
 - label: Samplers Test
   device: h200_35gb
   key: samplers-test
-  timeout_in_minutes: 75
+  timeout_in_minutes: 40
   source_file_dependencies:
   - vllm/model_executor/layers
   - vllm/sampling_metadata.py
@@ -19,7 +19,7 @@ steps:
     - VLLM_USE_FLASHINFER_SAMPLER=1 pytest -v -s samplers
   mirror:
     amd:
-      device: mi250_1
+      device: mi325_1
       depends_on:
       - image-build-amd
       commands:

.buildkite/test_areas/spec_decode.yaml

@@ -4,7 +4,7 @@ depends_on:
 steps:
 - label: Spec Decode Eagle
   key: spec-decode-eagle
-  timeout_in_minutes: 30
+  timeout_in_minutes: 25
   device: h200_18gb
   source_file_dependencies:
     - vllm/v1/spec_decode/
@@ -12,10 +12,24 @@ steps:
     - tests/v1/e2e/spec_decode/
   commands:
     - pytest -v -s v1/e2e/spec_decode -k "eagle_correctness"
+  mirror:
+    amd:
+      device: mi325_1
+      timeout_in_minutes: 60
+      depends_on:
+      - image-build-amd
+      source_file_dependencies:
+      - vllm/v1/spec_decode/
+      - vllm/v1/worker/gpu/spec_decode/
+      - vllm/model_executor/model_loader/
+      - vllm/v1/sample/
+      - vllm/model_executor/layers/
+      - tests/v1/e2e/spec_decode/
+      - vllm/platforms/rocm.py
 
 - label: Spec Decode Eagle Nightly B200
   key: spec-decode-eagle-nightly-b200
-  timeout_in_minutes: 30
+  timeout_in_minutes: 25
   device: b200-k8s
   optional: true
   source_file_dependencies:
@@ -27,7 +41,7 @@ steps:
 
 - label: Spec Decode Speculators + MTP
   key: spec-decode-speculators-mtp
-  timeout_in_minutes: 30
+  timeout_in_minutes: 20
   device: h200_18gb
   source_file_dependencies:
     - vllm/v1/spec_decode/
@@ -39,7 +53,7 @@ steps:
     - pytest -v -s v1/e2e/spec_decode -k "speculators or mtp_correctness"
   mirror:
     amd:
-      device: mi300_1
+      device: mi325_1
       timeout_in_minutes: 65
       depends_on:
       - image-build-amd
@@ -68,7 +82,7 @@ steps:
   
 - label: Spec Decode Ngram + Suffix
   key: spec-decode-ngram-suffix
-  timeout_in_minutes: 30
+  timeout_in_minutes: 20
   device: h200_18gb
   source_file_dependencies:
     - vllm/v1/spec_decode/
@@ -78,8 +92,10 @@ steps:
     - pytest -v -s v1/e2e/spec_decode -k "ngram or suffix"
   mirror:
     amd:
-      device: mi300_1
-      timeout_in_minutes: 65
+      device: mi325_1
+      timeout_in_minutes: 55
+      # TODO(akaratza): Test after Torch >= 2.12 bump
+      soft_fail: true
       depends_on:
       - image-build-amd
       source_file_dependencies:
@@ -93,7 +109,7 @@ steps:
 
 - label: Spec Decode Draft Model
   key: spec-decode-draft-model
-  timeout_in_minutes: 30
+  timeout_in_minutes: 45
   device: h200_18gb
   source_file_dependencies:
     - vllm/v1/spec_decode/
@@ -103,8 +119,8 @@ steps:
     - pytest -v -s v1/e2e/spec_decode -k "draft_model or no_sync or batch_inference"
   mirror:
     amd:
-      device: mi300_1
-      timeout_in_minutes: 50
+      device: mi325_1
+      timeout_in_minutes: 55
       depends_on:
       - image-build-amd
       source_file_dependencies:
@@ -118,7 +134,7 @@ steps:
 
 - label: Spec Decode Draft Model Nightly B200
   key: spec-decode-draft-model-nightly-b200
-  timeout_in_minutes: 30
+  timeout_in_minutes: 40
   device: b200-k8s
   optional: true
   source_file_dependencies:
@@ -130,7 +146,7 @@ steps:
 
 - label: Speculators Correctness
   key: speculators-correctness
-  timeout_in_minutes: 60
+  timeout_in_minutes: 30
   device: h100
   optional: true
   num_devices: 1
@@ -143,7 +159,7 @@ steps:
     - pytest -v -s v1/spec_decode/test_speculators_correctness.py -m slow_test
 
 - label: Spec Decode MTP hybrid (B200)
-  timeout_in_minutes: 30
+  timeout_in_minutes: 20
   device: b200-k8s
   optional: true
   source_file_dependencies:

.buildkite/test_areas/weight_loading.yaml

@@ -4,7 +4,7 @@ depends_on:
 steps:
 - label: Weight Loading Multiple GPU  # 33min
   key: weight-loading-multiple-gpu
-  timeout_in_minutes: 45
+  timeout_in_minutes: 50
   working_dir: "/vllm-workspace/tests"
   num_devices: 2
   optional: true
@@ -13,6 +13,13 @@ steps:
   - tests/weight_loading
   commands:
     - bash weight_loading/run_model_weight_loading_test.sh -c weight_loading/models.txt
+  mirror:
+    amd:
+      device: mi300_2
+      depends_on:
+      - image-build-amd
+      commands:
+      - bash weight_loading/run_model_weight_loading_test.sh -c weight_loading/models-amd.txt
 
 # - label: Weight Loading Multiple GPU - Large Models # optional
 #   working_dir: "/vllm-workspace/tests"

.claude/skills/ci-fails-buildkite/SKILL.md

@@ -0,0 +1,35 @@
+---
+name: ci-fails-buildkite
+description: Fetch and diagnose vLLM Buildkite CI failure logs. Use when investigating failing CI jobs on a PR or build, when the user pastes a buildkite.com URL, or asks to fetch/diagnose CI logs.
+---
+
+# Diagnosing vLLM Buildkite CI Failures
+
+Buildkite logs are public; no login needed.
+
+`.buildkite/scripts/ci-fetch-log.sh` saves each log as `ci-<build>-<job-name>.log`, stripped of timestamps and ANSI codes. Existing files are kept; set `CI_FETCH_LOG_FORCE=1` to refetch.
+
+## Fetching logs
+
+```bash
+# All failed jobs in a PR's latest build (current branch's PR if omitted):
+.buildkite/scripts/ci-fetch-log.sh --pr <PR>
+
+# All failed jobs in a build (--soft also includes soft-failed jobs;
+# --all fetches every finished job):
+.buildkite/scripts/ci-fetch-log.sh "https://buildkite.com/vllm/ci/builds/<N>"
+
+# One job — `gh pr checks` URLs (#<job_uuid>) and web UI URLs (?sid=) both
+# work; pass "-" as a second argument to stream to stdout:
+.buildkite/scripts/ci-fetch-log.sh "https://buildkite.com/vllm/ci/builds/<N>#<job_uuid>"
+```
+
+To clean an already-downloaded log with `.buildkite/scripts/ci-clean-log.sh`:
+
+```bash
+./ci-clean-log.sh ci.log
+```
+
+## Reference
+
+See [docs/contributing/ci/failures.md](../../../docs/contributing/ci/failures.md) for the full guide: filing CI failure issues, investigating/bisecting, reproducing flaky tests, and daily triage.

.github/CODEOWNERS

@@ -2,17 +2,16 @@
 # for more info about CODEOWNERS file
 
 # This lists cover the "core" components of vLLM that require careful review
-/vllm/compilation @zou3519 @youkaichao @ProExpertProg @BoyuanFeng @vadiklyutiy
-/vllm/distributed/kv_transfer @NickLucche @ApostaC @orozery @xuechendi
+/vllm/compilation @zou3519 @youkaichao @ProExpertProg @BoyuanFeng
+/vllm/distributed/kv_transfer @NickLucche @ApostaC @orozery @xuechendi @ivanium
 /vllm/lora @jeejeelee
 /vllm/model_executor/layers/attention @LucasWilkinson @MatthewBonanni
 /vllm/model_executor/layers/fused_moe @mgoin @pavanimajety @zyongye
 /vllm/model_executor/layers/quantization @mgoin @robertgshaw2-redhat @tlrmchlsmth @yewentao256 @pavanimajety @zyongye
 /vllm/model_executor/layers/mamba @tdoublep @tomeras91
-/vllm/model_executor/layers/mamba/gdn_linear_attn.py @tdoublep @ZJY0516 @vadiklyutiy
-/vllm/model_executor/layers/rotary_embedding.py @vadiklyutiy
+/vllm/model_executor/layers/mamba/gdn/qwen_gdn_linear_attn.py @tdoublep @ZJY0516 @vadiklyutiy
 /vllm/model_executor/model_loader @22quinn
-/vllm/model_executor/layers/batch_invariant.py @yewentao256 
+/vllm/model_executor/layers/batch_invariant.py @yewentao256
 /vllm/ir @ProExpertProg
 /vllm/kernels/ @ProExpertProg @tjtanaa
 /vllm/kernels/helion @ProExpertProg @zou3519
@@ -23,8 +22,13 @@
 
 # Any change to the VllmConfig changes can have a large user-facing impact,
 # so spam a lot of people
-/vllm/config @WoosukKwon @youkaichao @robertgshaw2-redhat @mgoin @tlrmchlsmth @houseroad @hmellor @yewentao256 @ProExpertProg
-/vllm/config/cache.py @heheda12345
+/vllm/config @WoosukKwon @youkaichao @robertgshaw2-redhat @mgoin @tlrmchlsmth @houseroad @yewentao256 @ProExpertProg
+/vllm/config/cache.py @heheda12345 @ivanium
+
+# Config utils
+/vllm/config/utils.py @hmellor
+/vllm/engine/arg_utils.py @hmellor
+/vllm/utils/argparse_utils.py
 
 # Entrypoints
 /vllm/entrypoints/anthropic @mgoin @DarkLight1337
@@ -63,19 +67,20 @@
 /vllm/v1/attention/backends/flashinfer.py @mgoin @pavanimajety @vadiklyutiy
 /vllm/v1/attention/backends/triton_attn.py @tdoublep
 /vllm/v1/attention/backends/gdn_attn.py @ZJY0516 @vadiklyutiy
-/vllm/v1/core @WoosukKwon @robertgshaw2-redhat @njhill @ywang96 @alexm-redhat @heheda12345 @ApostaC @orozery
+/vllm/v1/core @WoosukKwon @robertgshaw2-redhat @njhill @ywang96 @alexm-redhat @heheda12345 @ApostaC @orozery @ivanium
 /vllm/v1/sample @22quinn @houseroad @njhill
 /vllm/v1/spec_decode @benchislett @luccafong @MatthewBonanni
 /vllm/v1/structured_output @mgoin @russellb @aarnphm @benchislett
-/vllm/v1/kv_cache_interface.py @heheda12345
+/vllm/v1/kv_cache_interface.py @heheda12345 @ivanium
 /vllm/v1/kv_offload @ApostaC @orozery
+/vllm/v1/simple_kv_offload @ivanium
 /vllm/v1/engine @njhill
 /vllm/v1/executor @njhill
 /vllm/v1/worker @njhill
-/vllm/v1/worker/kv_connector_model_runner_mixin.py @orozery @NickLucche
+/vllm/v1/worker/kv_connector_model_runner_mixin.py @orozery @NickLucche @ivanium
 
 # Model runner V2
-/vllm/v1/worker/gpu @WoosukKwon @njhill
+/vllm/v1/worker/gpu @WoosukKwon @njhill @yewentao256
 /vllm/v1/worker/gpu/kv_connector.py @orozery
 
 # CI & building
@@ -99,13 +104,14 @@
 /tests/test_inputs.py @DarkLight1337 @ywang96
 /tests/entrypoints/llm/test_struct_output_generate.py @mgoin @russellb @aarnphm
 /tests/v1/structured_output @mgoin @russellb @aarnphm
-/tests/v1/core @WoosukKwon @robertgshaw2-redhat @njhill @ywang96 @alexm-redhat @heheda12345 @ApostaC @orozery
+/tests/v1/core @WoosukKwon @robertgshaw2-redhat @njhill @ywang96 @alexm-redhat @heheda12345 @ApostaC @orozery @ivanium
 /tests/weight_loading @mgoin @youkaichao @yewentao256
 /tests/lora @jeejeelee
 /tests/models/language/generation/test_hybrid.py @tdoublep @tomeras91
 /tests/v1/kv_connector/nixl_integration @NickLucche
-/tests/v1/kv_connector @ApostaC @orozery
+/tests/v1/kv_connector @ApostaC @orozery @ivanium
 /tests/v1/kv_offload @ApostaC @orozery
+/tests/v1/simple_kv_offload @ivanium
 /tests/v1/determinism @yewentao256
 /tests/reasoning @aarnphm @chaunceyjiang @sfeng33 @bbrowning
 /tests/tool_parsers @aarnphm @chaunceyjiang @sfeng33 @bbrowning
@@ -113,17 +119,7 @@
 
 # Transformers modeling backend
 /vllm/model_executor/models/transformers @hmellor
-/tests/models/test_transformers.py @hmellor
-
-# Observability
-/vllm/config/observability.py @markmc
-/vllm/v1/metrics @markmc
-/tests/v1/metrics @markmc
-/vllm/tracing.py @markmc
-/tests/v1/tracing/test_tracing.py @markmc
-/vllm/config/kv_events.py @markmc
-/vllm/distributed/kv_events.py @markmc
-/tests/distributed/test_events.py @markmc
+/tests/models/transformers @hmellor
 
 # Docs
 /docs/mkdocs @hmellor

.github/actionlint.yaml

@@ -0,0 +1,7 @@
+# Custom self-hosted runner labels (e.g. the autoscaling vllm-runners pool) so
+# actionlint doesn't flag them as unknown in `runs-on`.
+self-hosted-runner:
+  labels:
+    - vllm-runners
+    # Not yet in actionlint's known-label set.
+    - macos-26

.github/dependabot.yml

@@ -21,7 +21,6 @@ updates:
       - dependency-name: "torchvision"
       - dependency-name: "xformers"
       - dependency-name: "lm-format-enforcer"
-      - dependency-name: "gguf"
       - dependency-name: "compressed-tensors"
       - dependency-name: "ray[cgraph]" # Ray Compiled Graph
       - dependency-name: "lm-eval"

.github/mergify.yml

@@ -144,12 +144,12 @@ pull_request_rules:
     - label != stale
     - or:
       - files~=^examples/.*mistral.*\.py
-      - files~=^tests/.*mistral.*\.py
-      - files~=^vllm/model_executor/models/.*mistral.*\.py
+      - files~=^tests/.*(?:mistral|voxtral|mixtral|pixtral).*\.py
+      - files~=^vllm/model_executor/models/.*(?:mistral|voxtral|mixtral|pixtral).*\.py
       - files~=^vllm/reasoning/.*mistral.*\.py
       - files~=^vllm/tool_parsers/.*mistral.*\.py
-      - files~=^vllm/transformers_utils/.*mistral.*\.py
-      - title~=(?i)Mistral
+      - files~=^vllm/transformers_utils/.*(?:mistral|voxtral|pixtral).*\.py
+      - title~=(?i)(?:mistral|ministral|voxtral|mixtral|pixtral)
   actions:
     label:
       add:
@@ -388,9 +388,13 @@ pull_request_rules:
     - or:
       - files~=^tests/tool_use/
       - files~=^tests/tool_parsers/
+      - files~=^tests/parser/
+      - files~=^tests/reasoning/
       - files~=^tests/entrypoints/openai/.*tool.*
       - files~=^tests/entrypoints/anthropic/.*tool.*
       - files~=^vllm/tool_parsers/
+      - files~=^vllm/parser/
+      - files~=^vllm/reasoning/
       - files=docs/features/tool_calling.md
       - files~=^examples/tool_calling/
   actions:

.github/workflows/issue_autolabel.yml

@@ -327,7 +327,7 @@ jobs:
                 message: 'CC {users} for ROCm-related issue',
               },
               mistral: {
-                users: ['patrickvonplaten', 'juliendenize', 'andylolu2'],
+                users: ['patrickvonplaten', 'juliendenize', 'andylolu2', 'NickLucche'],
                 message: 'CC {users} for Mistral-related issue',
               },
               // Add more label -> user mappings here

.github/workflows/macos-smoke-test.yml

@@ -11,13 +11,25 @@ permissions:
 
 jobs:
   macos-m1-smoke-test:
-    runs-on: macos-latest
+    # macos-26 (the supported target) is still a preview runner, so gate on GA
+    # macos-15 and keep macos-26 non-blocking.
+    strategy:
+      fail-fast: false
+      matrix:
+        include:
+          - os: macos-15
+            required: true
+          - os: macos-26
+            required: false
+    name: macos-m1-smoke-test (${{ matrix.os }})
+    runs-on: ${{ matrix.os }}
+    continue-on-error: ${{ !matrix.required }}
     timeout-minutes: 30
 
     steps:
-      - uses: actions/checkout@v6.0.1
+      - uses: actions/checkout@9c091bb21b7c1c1d1991bb908d89e4e9dddfe3e0 # v7.0.0
 
-      - uses: astral-sh/setup-uv@v7
+      - uses: astral-sh/setup-uv@37802adc94f370d6bfd71619e3f0bf239e1f3b78 # v7.6.0
         with:
           enable-cache: true
           cache-dependency-glob: |
@@ -72,14 +84,11 @@ jobs:
           # Test health endpoint
           curl -f http://localhost:8000/health
 
-          # Test completion
-          curl -f http://localhost:8000/v1/completions \
+          # Long prompt: hits the split-KV path that short prompts skip (#46769).
+          PAYLOAD=$(python -c "import json; print(json.dumps({'model': 'Qwen/Qwen3-0.6B', 'prompt': 'The quick brown fox jumps over the lazy dog. ' * 24, 'max_tokens': 16}))")
+          curl -f --max-time 120 http://localhost:8000/v1/completions \
             -H "Content-Type: application/json" \
-            -d '{
-              "model": "Qwen/Qwen3-0.6B",
-              "prompt": "Hello",
-              "max_tokens": 5
-            }'
+            -d "$PAYLOAD"
 
           # Cleanup
           kill "$SERVER_PID"

.github/workflows/pre-commit.yml

@@ -28,7 +28,8 @@ jobs:
             pull_number: context.payload.pull_request.number,
           });
 
-          const hasReadyLabel = pr.labels.some(l => l.name === 'ready');
+          const readyLabels = ['ready', 'ready-run-all-tests'];
+          const hasReadyLabel = pr.labels.some(l => readyLabels.includes(l.name));
           const hasVerifiedLabel = pr.labels.some(l => l.name === 'verified');
 
           const { data: mergedPRs } = await github.rest.search.issuesAndPullRequests({
@@ -40,18 +41,22 @@ jobs:
           if (hasReadyLabel || hasVerifiedLabel || mergedCount >= 4) {
             core.info(`Check passed: verified label=${hasVerifiedLabel}, ready label=${hasReadyLabel}, 4+ merged PRs=${mergedCount >= 4}`);
           } else {
-            core.setFailed(`PR must have the 'verified' or 'ready' (which also triggers tests) label or the author must have at least 4 merged PRs (found ${mergedCount}).`);
+            core.setFailed(`PR must have the 'verified', 'ready', or 'ready-run-all-tests' label (the ready labels also trigger tests) or the author must have at least 4 merged PRs (found ${mergedCount}).`);
           }
 
   pre-commit:
     needs: pre-run-check
     if: always() && (needs.pre-run-check.result == 'success' || needs.pre-run-check.result == 'skipped')
-    runs-on: ubuntu-latest
+    runs-on: [self-hosted, linux, x64, vllm-runners]
     steps:
-    - uses: actions/checkout@8e8c483db84b4bee98b60c0593521ed34d9990e8 # v6.0.1
+    - uses: actions/checkout@9c091bb21b7c1c1d1991bb908d89e4e9dddfe3e0 # v7.0.0
     - uses: actions/setup-python@83679a892e2d95755f2dac6acb0bfd1e9ac5d548 # v6.1.0
       with:
         python-version: "3.12"
+    # Provide shellcheck on PATH so tools/pre_commit/shellcheck.sh skips its
+    # wget + tar -xJ self-download, which the self-hosted runner image lacks
+    # (no wget/xz). Pinned to shellcheck 0.10.0 to match the script's "stable".
+    - run: python -m pip install shellcheck-py==0.10.0.1
     - run: echo "::add-matcher::.github/workflows/matchers/actionlint.json"
     - run: echo "::add-matcher::.github/workflows/matchers/markdownlint.json"
     - run: echo "::add-matcher::.github/workflows/matchers/mypy.json"

.github/workflows/scripts/build.sh

@@ -9,7 +9,7 @@ PATH=${cuda_home}/bin:$PATH
 LD_LIBRARY_PATH=${cuda_home}/lib64:$LD_LIBRARY_PATH
 
 # Install requirements
-if [ "$(echo $2 | cut -d. -f1)" = "12" ]; then
+if [ "$(echo "$2" | cut -d. -f1)" = "12" ]; then
     sed -i 's/^nvidia-cutlass-dsl\[cu13\]>=/nvidia-cutlass-dsl>=/' requirements/cuda.txt
 fi
 $python_executable -m pip install -r requirements/build/cuda.txt -r requirements/cuda.txt
@@ -17,7 +17,10 @@ $python_executable -m pip install -r requirements/build/cuda.txt -r requirements
 # Limit the number of parallel jobs to avoid OOM
 export MAX_JOBS=1
 # Make sure release wheels are built for the following architectures
-export TORCH_CUDA_ARCH_LIST="7.5 8.0 8.6 8.9 9.0 10.0 12.0+PTX"
+# Do not add +PTX here: vLLM filters torch's top-level PTX flag when it
+# converts global gencode flags into per-kernel arch lists. If a specific
+# kernel needs PTX, add +PTX to that kernel's CMake arch list instead.
+export TORCH_CUDA_ARCH_LIST="7.5 8.0 8.6 8.9 9.0 10.0 12.0"
 
 bash tools/check_repo.sh
 

.gitignore

@@ -15,6 +15,9 @@ vllm/third_party/flashmla/flash_mla_interface.py
 # DeepGEMM vendored package built from source
 vllm/third_party/deep_gemm/
 
+# fmha_sm100 vendored package built from source
+vllm/third_party/fmha_sm100/
+
 # triton jit
 .triton
 
@@ -196,7 +199,9 @@ cython_debug/
 .vscode/
 
 # Claude
-.claude/
+.claude/*
+!.claude/skills/
+!.claude/skills/**
 
 # Codex
 .codex/
@@ -233,7 +238,7 @@ actionlint
 shellcheck*/
 
 # Ignore moe/marlin_moe gen code
-csrc/moe/marlin_moe_wna16/kernel_*
+csrc/libtorch_stable/moe/marlin_moe_wna16/kernel_*
 
 # Ignore ep_kernels_workspace folder
 ep_kernels_workspace/

.pre-commit-config.yaml

@@ -21,7 +21,7 @@ repos:
   rev: v21.1.2
   hooks:
   - id: clang-format
-    exclude: 'csrc/(moe/topk_softmax_kernels.cu|libtorch_stable/quantization/gguf/(ggml-common.h|dequantize.cuh|vecdotq.cuh|mmq.cuh|mmvq.cuh))|vllm/third_party/.*'
+    exclude: 'csrc/libtorch_stable/moe/topk_softmax_kernels.cu|vllm/third_party/.*'
     types_or: [c++, cuda]
     args: [--style=file, --verbose]
 - repo: https://github.com/DavidAnson/markdownlint-cli2
@@ -131,6 +131,19 @@ repos:
         --python-version, "3.12",
       ]
       files: ^requirements/(common|xpu|test/xpu)\.(in|txt)$
+    - id: pip-compile
+      alias: pip-compile-cpu
+      name: pip-compile-cpu
+      args: [
+        requirements/test/cuda.in,
+        -o, requirements/test/cpu.txt,
+        --index-strategy, unsafe-best-match,
+        --torch-backend, cpu,
+        --python-platform, x86_64-manylinux_2_28,
+        --python-version, "3.12",
+      ]
+      files: ^requirements/(common|cpu|test/(cuda|cpu))\.(in|txt)$
+      exclude: ^requirements/test/cuda\.txt$
     - id: pip-compile
       alias: pip-compile-docs
       name: pip-compile-docs

AGENTS.md

@@ -29,6 +29,7 @@ Do not open one-off PRs for tiny edits (single typo, isolated style change, one
 - PR descriptions for AI-assisted work **must** include:
     - Why this is not duplicating an existing PR.
     - Test commands run and results.
+    - Model evaluation results when the change affects output, accuracy, or serving.
     - Clear statement that AI assistance was used.
 
 ### Fail-closed behavior
@@ -66,23 +67,38 @@ VLLM_USE_PRECOMPILED=1 uv pip install -e . --torch-backend=auto
 uv pip install -e . --torch-backend=auto
 ```
 
-### Running tests
+### Tests
 
 > Requires [Environment setup](#environment-setup) and [Installing dependencies](#installing-dependencies).
 
 ```bash
-# Install test dependencies.
-# requirements/test/cuda.txt is pinned to x86_64; on other platforms, use the
-# unpinned source file instead:
-uv pip install -r requirements/test/cuda.in    # resolves for current platform
-# Or on x86_64:
-uv pip install -r requirements/test/cuda.txt
+# Install test dependencies (use cuda.in on non-x86_64):
+uv pip install -r requirements/test/cuda.in
 
-# Run a specific test file (use .venv/bin/python directly;
-# `source activate` does not persist in non-interactive shells):
+# Run a specific test file:
 .venv/bin/python -m pytest tests/path/to/test_file.py -v
 ```
 
+When adding tests:
+
+- **Design before you write.** Answer four questions first: what is the module
+  for, what is its I/O contract, what failure am I guarding against, and what is
+  the cheapest level that catches it (unit over integration over e2e)?
+- **Reuse before create.** Extend existing test files, `conftest.py` fixtures, and
+  helpers; add a new file only when no nearby suite fits.
+- **Test behavior with intent.** Assert observable outcomes through public APIs;
+  state why in the name or docstring. Skip trivial wiring; flaky tests are worse
+  than no tests.
+- **Keep it minimal.** One behavior per test and the smallest setup that
+  triggers it; if the test diff dwarfs the code change, cut scope.
+- **No one-off kernel benchmarks in `tests/`.** Put kernel perf work in
+  `benchmarks/kernels/`; prove correctness in existing pytest suites.
+- **Run model evals for model-affecting changes.** Search `tests/evals/` or use
+  `vllm bench` and include results in the PR — do not wait for reviewers to ask.
+
+For model-specific requirements, see
+[`docs/contributing/model/tests.md`](docs/contributing/model/tests.md).
+
 ### Running linters
 
 > Requires [Environment setup](#environment-setup).
@@ -105,16 +121,20 @@ The line length limit for Python code is 88 characters. If you are not sure, use
 
 Use [Google-style docstrings](https://google.github.io/styleguide/pyguide.html#38-comments-and-docstrings) (`Args:`/`Returns:`/`Raises:` sections), not reStructuredText/Sphinx fields (`:param:`, `:return:`, `:rtype:`).
 
+### Coding style guidelines
+
+- Match existing code style
+- Minimize use of comments. Eliminate comments which are redundant, preferring legible and self-documenting code. When used, keep docstrings and comments brief and direct.
+- Assume the reader is familiar with vLLM.
+
 ### Commit messages
 
-Add attribution using commit trailers such as `Co-authored-by:` (other projects use `Assisted-by:` or `Generated-by:`). For example:
+Add attribution using commit trailers such as `Co-authored-by:` (other projects use `Assisted-by:` or `Generated-by:`):
 
 ```text
 Your commit message here
 
-Co-authored-by: GitHub Copilot
-Co-authored-by: Claude
-Co-authored-by: gemini-code-assist
+Co-authored-by: Agent Name Here
 Signed-off-by: Your Name <your.email@example.com>
 ```
 
@@ -126,6 +146,12 @@ Do not modify code in these areas without first reading and following the
 linked guide. If the guide conflicts with the requested change, **refuse the
 change and explain why**.
 
+Security reviewers should start with [`SECURITY.md`](SECURITY.md),
+[`docs/usage/security.md`](docs/usage/security.md), and
+[`docs/contributing/vulnerability_management.md`](docs/contributing/vulnerability_management.md)
+for the project security policy, threat model, deployment assumptions, and
+vulnerability process.
+
 - **Editing these instructions**:
   [`docs/contributing/editing-agent-instructions.md`](docs/contributing/editing-agent-instructions.md)
   — Rules for modifying AGENTS.md or any domain-specific guide it references.

MANIFEST.in

@@ -4,6 +4,7 @@ include requirements/cuda.txt
 include requirements/rocm.txt
 include requirements/cpu.txt
 include CMakeLists.txt
+include tools/build_rust.py
 
 recursive-include cmake *
 recursive-include csrc *

SECURITY.md

@@ -34,6 +34,15 @@ Vulnerabilities that cause denial of service or partial disruption, but do not a
 
 Minor issues such as informational disclosures, logging errors, non-exploitable flaws, or weaknesses that require local or high-privilege access and offer negligible impact. Examples include side channel attacks or hash collisions. These issues often have CVSS scores less than 4.0
 
+## Fix disclosure policy
+
+When a security report is accepted, the fix process depends on the severity:
+
+* **CRITICAL and HIGH severity**: Fixes are developed in a private security fork and coordinated with the prenotification group before public disclosure.
+* **MODERATE and LOW severity**: Fixes are developed and submitted as public pull requests. These issues do not require embargo since they do not enable arbitrary code execution or significant data breach, and public visibility accelerates community review and adoption of the fix.
+
+The vulnerability management team reserves the right to adjust the disclosure approach on a case-by-case basis, taking into account factors such as active exploitation, unusual attack surface, or coordination requirements with downstream vendors.
+
 ## Prenotification policy
 
 For certain security issues of CRITICAL, HIGH, or MODERATE severity level, we may prenotify certain organizations or vendors that ship vLLM. The purpose of this prenotification is to allow for a coordinated release of fixes for severe issues.

benchmarks/attention_benchmarks/README.md

@@ -108,7 +108,6 @@ python benchmark.py \
     --backends flash triton flashinfer \
     --batch-specs "q2k" "8q1s1k" "2q2k_32q1s1k" \
     --num-layers 10 \
-    --repeats 5 \
     --output-csv results.csv
 ```
 
@@ -164,14 +163,17 @@ python benchmark.py \
 # Model configuration
 --num-layers N                      # Number of layers
 --head-dim N                        # Head dimension
+--v-head-dim N                      # Value head dimension (defaults to --head-dim)
 --num-q-heads N                     # Query heads
 --num-kv-heads N                    # KV heads
 --block-size N                      # Block size
+--kv-lora-rank N                    # MLA KV LoRA rank
+--qk-nope-head-dim N                # MLA non-RoPE QK head dim
+--qk-rope-head-dim N                # MLA RoPE QK head dim
 
 # Benchmark settings
 --device DEVICE                     # Device (default: cuda:0)
---repeats N                         # Repetitions
---warmup-iters N                    # Warmup iterations
+--warmup-ms N                       # Warmup window in ms for triton do_bench
 --profile-memory                    # Profile memory usage
 
 # Parameter sweeps
@@ -211,8 +213,6 @@ config = BenchmarkConfig(
     num_kv_heads=1,
     block_size=128,
     device="cuda:0",
-    repeats=5,
-    warmup_iters=3,
 )
 
 # CUTLASS MLA with specific num_kv_splits
@@ -253,14 +253,10 @@ formatter.save_json(results, "output.json")
 
 ## Tips
 
-**1. Warmup matters** - Use `--warmup-iters 10` for stable results
+**1. Save results** - Always use `--output-csv` or `--output-json`
 
-**2. Multiple repeats** - Use `--repeats 20` for low variance
+**2. Test incrementally** - Start with `--num-layers 1`
 
-**3. Save results** - Always use `--output-csv` or `--output-json`
+**3. Extended grammar** - Leverage spec decode, chunked prefill patterns
 
-**4. Test incrementally** - Start with `--num-layers 1 --repeats 1`
-
-**5. Extended grammar** - Leverage spec decode, chunked prefill patterns
-
-**6. Parameter sweeps** - Use `--sweep-param` and `--sweep-values` to find optimal values
+**4. Parameter sweeps** - Use `--sweep-param` and `--sweep-values` to find optimal values

benchmarks/attention_benchmarks/benchmark.py

@@ -26,6 +26,9 @@ Examples:
 """
 
 import argparse
+import os
+import shutil
+import subprocess
 import sys
 from dataclasses import replace
 from pathlib import Path
@@ -50,6 +53,16 @@ from common import (
 from vllm.v1.worker.workspace import init_workspace_manager
 
 
+def _str2bool(v) -> bool:
+    if isinstance(v, bool):
+        return v
+    if v.lower() in ("true", "1", "yes", "t"):
+        return True
+    if v.lower() in ("false", "0", "no", "f"):
+        return False
+    raise argparse.ArgumentTypeError(f"expected a boolean, got {v!r}")
+
+
 def run_standard_attention_benchmark(config: BenchmarkConfig) -> BenchmarkResult:
     """Run standard attention benchmark (Flash/Triton/FlashInfer)."""
     from runner import run_attention_benchmark
@@ -83,13 +96,15 @@ def run_benchmark(config: BenchmarkConfig, **kwargs) -> BenchmarkResult:
         else:
             return run_standard_attention_benchmark(config)
     except Exception as e:
+        error_msg = str(e) or repr(e)
         return BenchmarkResult(
             config=config,
             mean_time=float("inf"),
+            median_time=float("inf"),
             std_time=0,
             min_time=float("inf"),
             max_time=float("inf"),
-            error=str(e),
+            error=error_msg,
         )
 
 
@@ -115,9 +130,12 @@ def run_model_parameter_sweep(
     """
     all_results = []
 
-    console.print(
-        f"[yellow]Model sweep mode: testing {sweep.param_name} = {sweep.values}[/]"
+    sweep_desc = (
+        f"{sweep.param_name} = {sweep.values}"
+        if sweep.param_name
+        else f"{len(sweep.values)} configurations"
     )
+    console.print(f"[yellow]Model sweep mode: testing {sweep_desc}[/]")
 
     total = len(backends) * len(batch_specs) * len(sweep.values)
 
@@ -125,9 +143,9 @@ def run_model_parameter_sweep(
         for backend in backends:
             for spec in batch_specs:
                 for value in sweep.values:
-                    # Create config with modified model parameter
+                    # Create config with modified model parameter(s)
                     config_args = base_config_args.copy()
-                    config_args[sweep.param_name] = value
+                    sweep.apply(config_args, value)
 
                     # Create config with original backend for running
                     clean_config = BenchmarkConfig(
@@ -144,13 +162,21 @@ def run_model_parameter_sweep(
                     all_results.append(result)
 
                     if not result.success:
+                        err_label = (
+                            f"{sweep.param_name}={value}"
+                            if sweep.param_name
+                            else f"{value}"
+                        )
                         console.print(
-                            f"[red]Error {backend} {spec} {sweep.param_name}="
-                            f"{value}: {result.error}[/]"
+                            f"[red]Error {backend} {spec} {err_label}"
+                            f": {result.error}[/]"
                         )
 
                     pbar.update(1)
 
+    if base_config_args.get("ncu_profile"):
+        return all_results
+
     # Display sweep results - create separate table for each parameter value
     console.print("\n[bold green]Model Parameter Sweep Results:[/]")
     formatter = ResultsFormatter(console)
@@ -184,7 +210,10 @@ def run_model_parameter_sweep(
     )
 
     for param_value in sorted_param_values:
-        console.print(f"\n[bold cyan]{sweep.param_name} = {param_value}[/]")
+        label = (
+            f"{sweep.param_name} = {param_value}" if sweep.param_name else param_value
+        )
+        console.print(f"\n[bold cyan]{label}[/]")
         param_results = by_param_value[param_value]
 
         # Create modified results with original backend names
@@ -200,8 +229,9 @@ def run_model_parameter_sweep(
         formatter.print_table(modified_results, backends, compare_to_fastest=True)
 
     # Show optimal backend for each (param_value, batch_spec) combination
+    sweep_name = sweep.param_name or "config"
     console.print(
-        f"\n[bold cyan]Optimal backend for each ({sweep.param_name}, batch_spec):[/]"
+        f"\n[bold cyan]Optimal backend for each ({sweep_name}, batch_spec):[/]"
     )
 
     # Group by (param_value, batch_spec)
@@ -236,7 +266,10 @@ def run_model_parameter_sweep(
     for param_value, spec in sorted_keys:
         # Print header when param value changes
         if param_value != current_param_value:
-            console.print(f"\n  [bold]{sweep.param_name}={param_value}:[/]")
+            header = (
+                f"{sweep.param_name}={param_value}" if sweep.param_name else param_value
+            )
+            console.print(f"\n  [bold]{header}:[/]")
             current_param_value = param_value
 
         results = by_param_and_spec[(param_value, spec)]
@@ -322,6 +355,9 @@ def run_parameter_sweep(
 
                     pbar.update(1)
 
+    if base_config_args.get("ncu_profile"):
+        return all_results
+
     # Display sweep results
     console.print("\n[bold green]Sweep Results:[/]")
     backend_labels = [sweep.get_label(b, v) for b in backends for v in sweep_values]
@@ -459,6 +495,20 @@ def main():
         help="Prefill backends to compare (fa2, fa3, fa4). "
         "Uses the first decode backend for impl construction.",
     )
+    parser.add_argument(
+        "--fp8-output-scale",
+        type=float,
+        help="Static per-tensor scale enabling the MLA prefill FP8-output "
+        "comparison on FA4 (fused write vs standalone post-quant).",
+    )
+    parser.add_argument(
+        "--fuse-quant-op",
+        nargs="+",
+        type=_str2bool,
+        help="FP8-output write path(s) to run: false = bf16 attention + "
+        "standalone static-FP8 quant, true = FA4 writes FP8 directly. "
+        "Default: both.",
+    )
 
     # Batch specifications
     parser.add_argument(
@@ -474,11 +524,35 @@ def main():
     parser.add_argument("--num-q-heads", type=int, default=32, help="Query heads")
     parser.add_argument("--num-kv-heads", type=int, default=8, help="KV heads")
     parser.add_argument("--block-size", type=int, default=16, help="Block size")
+    parser.add_argument(
+        "--v-head-dim",
+        type=int,
+        default=None,
+        help="Value head dimension (defaults to --head-dim if unset)",
+    )
+
+    # MLA-specific model dimensions
+    parser.add_argument(
+        "--kv-lora-rank", type=int, default=None, help="MLA KV LoRA rank"
+    )
+    parser.add_argument(
+        "--qk-nope-head-dim", type=int, default=None, help="MLA non-RoPE QK head dim"
+    )
+    parser.add_argument(
+        "--qk-rope-head-dim", type=int, default=None, help="MLA RoPE QK head dim"
+    )
 
     # Benchmark settings
     parser.add_argument("--device", default="cuda:0", help="Device")
-    parser.add_argument("--repeats", type=int, default=1, help="Repetitions")
-    parser.add_argument("--warmup-iters", type=int, default=3, help="Warmup iterations")
+    parser.add_argument(
+        "--warmup-ms",
+        type=int,
+        default=None,
+        help=(
+            "Warmup window in ms for triton's do_bench (default: triton's own). "
+            "Has no effect with CUDA graphs; pass --no-cuda-graphs to use it."
+        ),
+    )
     parser.add_argument("--profile-memory", action="store_true", help="Profile memory")
     parser.add_argument(
         "--kv-cache-dtype",
@@ -491,10 +565,33 @@ def main():
         action=argparse.BooleanOptionalAction,
         default=True,
         help=(
-            "Launch kernels with CUDA graphs to eliminate CPU overhead"
-            "in measurements (default: True)"
+            "Use triton do_bench_cudagraph (True) or do_bench (False) "
+            "for timing. CUDA graphs eliminate CPU launch overhead "
+            "(default: True)"
         ),
     )
+    parser.add_argument(
+        "--num-splits",
+        type=int,
+        default=None,
+        help="FlashAttention split-K factor (0=auto heuristic, 1=disabled, >1=force N)",
+    )
+    parser.add_argument(
+        "--ncu-profile",
+        action="store_true",
+        default=False,
+        help=(
+            "Enable Nsight Compute profiling mode. Automatically wraps the "
+            "script with ncu, capturing a profile with source correlation. "
+            "Use --ncu-output to set the output file name."
+        ),
+    )
+    parser.add_argument(
+        "--ncu-output",
+        type=str,
+        default="profile",
+        help="Output file name for ncu profile (default: 'profile').",
+    )
 
     # Parameter sweep (use YAML config for advanced sweeps)
     parser.add_argument(
@@ -545,6 +642,12 @@ def main():
         # Prefill backends (e.g., ["fa3", "fa4"])
         args.prefill_backends = yaml_config.get("prefill_backends", None)
 
+        # FP8 output benchmark knobs; CLI wins.
+        if args.fp8_output_scale is None:
+            args.fp8_output_scale = yaml_config.get("fp8_output_scale", None)
+        if args.fuse_quant_op is None:
+            args.fuse_quant_op = yaml_config.get("fuse_quant_op", None)
+
         # Check for special modes
         args.mode = yaml_config.get("mode", None)
 
@@ -576,23 +679,28 @@ def main():
             model = yaml_config["model"]
             args.num_layers = model.get("num_layers", args.num_layers)
             args.head_dim = model.get("head_dim", args.head_dim)
+            args.v_head_dim = model.get("v_head_dim", args.v_head_dim)
             args.num_q_heads = model.get("num_q_heads", args.num_q_heads)
             args.num_kv_heads = model.get("num_kv_heads", args.num_kv_heads)
             args.block_size = model.get("block_size", args.block_size)
+            # MLA-specific dimensions
+            args.kv_lora_rank = model.get("kv_lora_rank", args.kv_lora_rank)
+            args.qk_nope_head_dim = model.get("qk_nope_head_dim", args.qk_nope_head_dim)
+            args.qk_rope_head_dim = model.get("qk_rope_head_dim", args.qk_rope_head_dim)
 
         # Benchmark settings (top-level keys)
         if "device" in yaml_config:
             args.device = yaml_config["device"]
-        if "repeats" in yaml_config:
-            args.repeats = yaml_config["repeats"]
-        if "warmup_iters" in yaml_config:
-            args.warmup_iters = yaml_config["warmup_iters"]
+        if "warmup_ms" in yaml_config:
+            args.warmup_ms = yaml_config["warmup_ms"]
         if "profile_memory" in yaml_config:
             args.profile_memory = yaml_config["profile_memory"]
         if "kv_cache_dtype" in yaml_config:
             args.kv_cache_dtype = yaml_config["kv_cache_dtype"]
         if "cuda_graphs" in yaml_config:
             args.cuda_graphs = yaml_config["cuda_graphs"]
+        if "ncu_profile" in yaml_config:
+            args.ncu_profile = yaml_config["ncu_profile"]
 
         # Parameter sweep configuration
         if "parameter_sweep" in yaml_config:
@@ -612,7 +720,7 @@ def main():
         if "model_parameter_sweep" in yaml_config:
             sweep_config = yaml_config["model_parameter_sweep"]
             args.model_parameter_sweep = ModelParameterSweep(
-                param_name=sweep_config["param_name"],
+                param_name=sweep_config.get("param_name"),
                 values=sweep_config["values"],
                 label_format=sweep_config.get(
                     "label_format", "{backend}_{param_name}_{value}"
@@ -631,6 +739,32 @@ def main():
 
         console.print()
 
+    # Re-exec under ncu if --ncu-profile and not already inside ncu. This runs
+    # after YAML processing so ncu_profile set via config file is honored.
+    if args.ncu_profile and "_NCU_INNER" not in os.environ:
+        ncu = shutil.which("ncu")
+        if ncu is None:
+            print("Error: 'ncu' not found in PATH", file=sys.stderr)
+            sys.exit(1)
+        cmd = [
+            ncu,
+            "--profile-from-start",
+            "off",
+            "--set",
+            "full",
+            "--import-source",
+            "yes",
+            "-o",
+            args.ncu_output,
+            sys.executable,
+            *sys.argv,
+        ]
+        env = os.environ.copy()
+        env["CUTE_DSL_LINEINFO"] = "1"
+        env["_NCU_INNER"] = "1"
+        print(f"Launching: {' '.join(cmd)}")
+        sys.exit(subprocess.call(cmd, env=env))
+
     # Handle CLI-based parameter sweep (if not from YAML)
     if (
         (not hasattr(args, "parameter_sweep") or args.parameter_sweep is None)
@@ -655,6 +789,18 @@ def main():
     console.print(f"Batch specs: {', '.join(args.batch_specs)}")
     console.print(f"KV cache dtype: {args.kv_cache_dtype}")
     console.print(f"CUDA graphs: {args.cuda_graphs}")
+    if args.warmup_ms is not None and args.cuda_graphs:
+        console.print(
+            "[yellow]Warning: --warmup-ms is ignored with CUDA graphs "
+            "(do_bench_cudagraph warms up internally). Pass --no-cuda-graphs "
+            "to use it.[/]"
+        )
+    if args.num_splits == 0 and args.cuda_graphs:
+        console.print(
+            "[yellow]Warning: --num-splits 0 (FA3 heuristic) is not CUDA-graph "
+            "compatible and may fail or fall back. Pass --no-cuda-graphs or use "
+            "--num-splits >=1.[/]"
+        )
     console.print()
 
     init_workspace_manager(args.device)
@@ -662,8 +808,68 @@ def main():
     # Run benchmarks
     all_results = []
 
+    # Under ncu profiling the kernels run only to be captured by the profiler;
+    # timings are placeholder zeros, so the result tables and saved metrics are
+    # skipped. The Nsight Compute report (--ncu-output) holds the real data.
+    if args.ncu_profile:
+        console.print(
+            "[dim]ncu profiling enabled: result tables and saved metrics are "
+            "skipped (timings are placeholder zeros).[/]"
+        )
+
+    # FA4 fused FP8 output vs standalone post-quant, on the same fa4 kernel:
+    # the delta is the post-quant kernel the fused path removes.
+    fp8_output_scale = getattr(args, "fp8_output_scale", None)
+    if fp8_output_scale is not None:
+        decode_backend = backends[0]
+        fuse_variants = args.fuse_quant_op or [False, True]
+        label_of = {False: "post_quant", True: "fused"}
+        console.print(
+            f"[yellow]FP8 output comparison @ scale={fp8_output_scale} "
+            f"(prefill=fa4, decode impl={decode_backend})[/]"
+        )
+        fp8_results = []
+        total = len(fuse_variants) * len(args.batch_specs)
+        with tqdm(total=total, desc="FP8 output benchmarking") as pbar:
+            for spec in args.batch_specs:
+                for fuse in fuse_variants:
+                    config = BenchmarkConfig(
+                        backend=decode_backend,
+                        batch_spec=spec,
+                        num_layers=args.num_layers,
+                        head_dim=args.head_dim,
+                        num_q_heads=args.num_q_heads,
+                        num_kv_heads=args.num_kv_heads,
+                        block_size=args.block_size,
+                        device=args.device,
+                        repeats=args.repeats,
+                        warmup_iters=args.warmup_iters,
+                        profile_memory=args.profile_memory,
+                        kv_cache_dtype=args.kv_cache_dtype,
+                        use_cuda_graphs=args.cuda_graphs,
+                        prefill_backend="fa4",
+                    )
+                    result = run_benchmark(
+                        config, output_scale=fp8_output_scale, fuse_quant_op=fuse
+                    )
+                    label = label_of[fuse]
+                    labeled_config = replace(result.config, backend=label)
+                    result = replace(result, config=labeled_config)
+                    fp8_results.append(result)
+
+                    if not result.success:
+                        console.print(f"[red]Error {label} {spec}: {result.error}[/]")
+
+                    pbar.update(1)
+
+        console.print("\n[bold green]FP8 Output Results:[/]")
+        formatter = ResultsFormatter(console)
+        labels = [label_of[f] for f in fuse_variants]
+        formatter.print_table(fp8_results, labels, compare_to_fastest=True)
+        all_results = fp8_results
+
     # Handle special mode: decode_vs_prefill comparison
-    if hasattr(args, "mode") and args.mode == "decode_vs_prefill":
+    elif hasattr(args, "mode") and args.mode == "decode_vs_prefill":
         console.print("[yellow]Mode: Decode vs Prefill pipeline comparison[/]")
         console.print(
             "[dim]For each query length, testing both decode and prefill pipelines[/]"
@@ -708,11 +914,11 @@ def main():
                         num_kv_heads=args.num_kv_heads,
                         block_size=args.block_size,
                         device=args.device,
-                        repeats=args.repeats,
-                        warmup_iters=args.warmup_iters,
                         profile_memory=args.profile_memory,
                         kv_cache_dtype=args.kv_cache_dtype,
                         use_cuda_graphs=args.cuda_graphs,
+                        ncu_profile=args.ncu_profile,
+                        warmup_ms=args.warmup_ms,
                     )
 
                     # Add decode pipeline config
@@ -749,6 +955,7 @@ def main():
                         result = BenchmarkResult(
                             config=config,
                             mean_time=timing["mean"],
+                            median_time=timing.get("median", timing["mean"]),
                             std_time=timing["std"],
                             min_time=timing["min"],
                             max_time=timing["max"],
@@ -770,6 +977,7 @@ def main():
                         result = BenchmarkResult(
                             config=config,
                             mean_time=float("inf"),
+                            median_time=float("inf"),
                             std_time=0,
                             min_time=float("inf"),
                             max_time=float("inf"),
@@ -779,6 +987,9 @@ def main():
 
                 pbar.update(1)
 
+        if args.ncu_profile:
+            return
+
         # Display decode vs prefill results
         console.print("\n[bold green]Decode vs Prefill Results:[/]")
 
@@ -858,15 +1069,20 @@ def main():
         base_config_args = {
             "num_layers": args.num_layers,
             "head_dim": args.head_dim,
+            "v_head_dim": args.v_head_dim,
             "num_q_heads": args.num_q_heads,
             "num_kv_heads": args.num_kv_heads,
             "block_size": args.block_size,
             "device": args.device,
-            "repeats": args.repeats,
-            "warmup_iters": args.warmup_iters,
             "profile_memory": args.profile_memory,
             "kv_cache_dtype": args.kv_cache_dtype,
             "use_cuda_graphs": args.cuda_graphs,
+            "ncu_profile": args.ncu_profile,
+            "warmup_ms": args.warmup_ms,
+            "num_splits": args.num_splits,
+            "kv_lora_rank": args.kv_lora_rank,
+            "qk_nope_head_dim": args.qk_nope_head_dim,
+            "qk_rope_head_dim": args.qk_rope_head_dim,
         }
         all_results = run_model_parameter_sweep(
             backends,
@@ -882,15 +1098,17 @@ def main():
         base_config_args = {
             "num_layers": args.num_layers,
             "head_dim": args.head_dim,
+            "v_head_dim": args.v_head_dim,
             "num_q_heads": args.num_q_heads,
             "num_kv_heads": args.num_kv_heads,
             "block_size": args.block_size,
             "device": args.device,
-            "repeats": args.repeats,
-            "warmup_iters": args.warmup_iters,
             "profile_memory": args.profile_memory,
             "kv_cache_dtype": args.kv_cache_dtype,
             "use_cuda_graphs": args.cuda_graphs,
+            "ncu_profile": args.ncu_profile,
+            "warmup_ms": args.warmup_ms,
+            "num_splits": args.num_splits,
         }
         all_results = run_parameter_sweep(
             backends, args.batch_specs, base_config_args, args.parameter_sweep, console
@@ -914,15 +1132,17 @@ def main():
                             batch_spec=spec,
                             num_layers=args.num_layers,
                             head_dim=args.head_dim,
+                            v_head_dim=getattr(args, "v_head_dim", None),
                             num_q_heads=args.num_q_heads,
                             num_kv_heads=args.num_kv_heads,
                             block_size=args.block_size,
                             device=args.device,
-                            repeats=args.repeats,
-                            warmup_iters=args.warmup_iters,
                             profile_memory=args.profile_memory,
                             kv_cache_dtype=args.kv_cache_dtype,
                             use_cuda_graphs=args.cuda_graphs,
+                            ncu_profile=args.ncu_profile,
+                            warmup_ms=args.warmup_ms,
+                            num_splits=args.num_splits,
                         )
 
                         result = run_benchmark(config)
@@ -935,9 +1155,10 @@ def main():
 
                         pbar.update(1)
 
-            console.print("\n[bold green]Results:[/]")
-            formatter = ResultsFormatter(console)
-            formatter.print_table(decode_results, backends)
+            if not args.ncu_profile:
+                console.print("\n[bold green]Results:[/]")
+                formatter = ResultsFormatter(console)
+                formatter.print_table(decode_results, backends)
 
         # Run prefill backend comparison
         if prefill_backends:
@@ -962,9 +1183,8 @@ def main():
                             num_kv_heads=args.num_kv_heads,
                             block_size=args.block_size,
                             device=args.device,
-                            repeats=args.repeats,
-                            warmup_iters=args.warmup_iters,
                             profile_memory=args.profile_memory,
+                            warmup_ms=args.warmup_ms,
                             prefill_backend=pb,
                         )
 
@@ -980,16 +1200,17 @@ def main():
 
                         pbar.update(1)
 
-            console.print("\n[bold green]Prefill Backend Results:[/]")
-            formatter = ResultsFormatter(console)
-            formatter.print_table(
-                prefill_results, prefill_backends, compare_to_fastest=True
-            )
+            if not args.ncu_profile:
+                console.print("\n[bold green]Prefill Backend Results:[/]")
+                formatter = ResultsFormatter(console)
+                formatter.print_table(
+                    prefill_results, prefill_backends, compare_to_fastest=True
+                )
 
         all_results = decode_results + prefill_results
 
-    # Save results
-    if all_results:
+    # Save results (skip ncu profiling runs: timings are placeholder zeros)
+    if all_results and not args.ncu_profile:
         formatter = ResultsFormatter(console)
         if args.output_csv:
             formatter.save_csv(all_results, args.output_csv)

benchmarks/attention_benchmarks/common.py

@@ -15,6 +15,8 @@ from batch_spec import get_batch_type, parse_batch_spec
 from rich.console import Console
 from rich.table import Table
 
+from vllm.triton_utils import triton
+
 
 def batch_spec_sort_key(spec: str) -> tuple[int, int, int]:
     """
@@ -34,6 +36,30 @@ def batch_spec_sort_key(spec: str) -> tuple[int, int, int]:
         return (0, 0, 0)
 
 
+def run_do_bench(
+    benchmark_fn,
+    use_cuda_graphs: bool,
+    warmup_ms: int | None = None,
+) -> list[float]:
+    kwargs: dict[str, Any] = {"return_mode": "all"}
+    if use_cuda_graphs:
+        result = triton.testing.do_bench_cudagraph(benchmark_fn, **kwargs)
+    else:
+        if warmup_ms is not None:
+            kwargs["warmup"] = warmup_ms
+        result = triton.testing.do_bench(benchmark_fn, **kwargs)
+    return result
+
+
+def run_ncu_profile(benchmark_fn) -> None:
+    benchmark_fn()
+    torch.accelerator.synchronize()
+    torch.cuda.cudart().cudaProfilerStart()
+    benchmark_fn()
+    torch.accelerator.synchronize()
+    torch.cuda.cudart().cudaProfilerStop()
+
+
 # Mock classes for vLLM attention infrastructure
 
 
@@ -182,18 +208,37 @@ class ParameterSweep:
 
 @dataclass
 class ModelParameterSweep:
-    """Configuration for sweeping a model configuration parameter."""
+    """Configuration for sweeping model configuration parameter(s).
 
-    param_name: str  # Name of the model config parameter to sweep (e.g., "num_q_heads")
-    values: list[Any]  # List of values to test
-    label_format: str = "{backend}_{param_name}_{value}"  # Result label template
+    Supports two modes:
+    - Single param: param_name="head_dim", values=[128, 256, 512]
+    - Multi param: values=[{head_dim: 192, v_head_dim: 128}, {head_dim: 256}]
+      When values are dicts, each dict's keys are applied as config overrides.
+    """
+
+    param_name: str | None = None
+    values: list[Any] | None = None
+    label_format: str = "{backend}_{param_name}_{value}"
 
     def get_label(self, backend: str, value: Any) -> str:
         """Generate a label for a specific parameter value."""
+        if isinstance(value, dict):
+            return self.label_format.format(
+                backend=backend, param_name=self.param_name, value=value, **value
+            )
         return self.label_format.format(
             backend=backend, param_name=self.param_name, value=value
         )
 
+    def apply(self, config_args: dict, value: Any) -> None:
+        """Apply a sweep value to config args."""
+        if isinstance(value, dict):
+            config_args.update(value)
+        elif self.param_name is not None:
+            config_args[self.param_name] = value
+        else:
+            raise ValueError("param_name must be set if sweep values are not dicts")
+
 
 @dataclass
 class BenchmarkConfig:
@@ -208,10 +253,10 @@ class BenchmarkConfig:
     block_size: int
     device: str
     dtype: torch.dtype = torch.float16
-    repeats: int = 1
-    warmup_iters: int = 3
     profile_memory: bool = False
     use_cuda_graphs: bool = False
+    ncu_profile: bool = False
+    warmup_ms: int | None = None
 
     # "auto" or "fp8"
     kv_cache_dtype: str = "auto"
@@ -226,6 +271,7 @@ class BenchmarkConfig:
     # Backend-specific tuning
     num_kv_splits: int | None = None  # CUTLASS MLA
     reorder_batch_threshold: int | None = None  # FlashAttn MLA, FlashMLA
+    num_splits: int | None = None  # FlashAttention split-K (0=auto, 1=disabled)
 
 
 @dataclass
@@ -234,6 +280,7 @@ class BenchmarkResult:
 
     config: BenchmarkConfig
     mean_time: float  # seconds
+    median_time: float  # seconds
     std_time: float  # seconds
     min_time: float  # seconds
     max_time: float  # seconds
@@ -252,6 +299,7 @@ class BenchmarkResult:
         return {
             "config": asdict(self.config),
             "mean_time": self.mean_time,
+            "median_time": self.median_time,
             "std_time": self.std_time,
             "min_time": self.min_time,
             "max_time": self.max_time,

benchmarks/attention_benchmarks/configs/mla_decode.yaml

@@ -56,8 +56,6 @@ backends:
   - TOKENSPEED_MLA  # Blackwell + R1 dims + FP8 KV (use --kv-cache-dtype fp8)
 
 device: "cuda:0"
-repeats: 100
-warmup_iters: 10
 profile_memory: true
 
 # Backend-specific tuning