refactor setup.py to extract stuff into build_rust.py

Signed-off-by: Bugen Zhao <i@bugenzhao.com>
update dockerfile image
2026-06-10 22:39:17 +08:00 · 2026-06-10 22:38:24 +08:00 · 2026-06-10 22:13:09 +08:00 · 2026-06-10 22:12:48 +08:00 · 2026-06-10 22:06:14 +08:00 · 2026-06-10 11:40:33 +00:00
2416 changed files with 80379 additions and 247420 deletions
@@ -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"
@@ -8,7 +8,6 @@ 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"
@@ -1,45 +1,18 @@
 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
-    soft_fail: false
-    depends_on:
-      - refresh-rocm-base-amd
+    depends_on: []
    device: amd_cpu
    no_plugin: true
    commands:
-      - bash .buildkite/scripts/rocm/build-ci-base.sh
+      - bash .buildkite/scripts/ci-bake-rocm.sh ci-base-rocm-ci-with-deps
    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"
@@ -53,18 +26,40 @@ 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:
-      - bash .buildkite/scripts/rocm/build-test-image.sh
-      - bash .buildkite/scripts/rocm/smoke-test-image.sh
+      - |
+        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
+        '
    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"
@@ -17,14 +17,12 @@ 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
@@ -55,7 +53,7 @@ steps:
  - tests/models/language/pooling/
  commands:
    - |
-      bash .buildkite/scripts/hardware_ci/run-cpu-test.sh 50m "
+      bash .buildkite/scripts/hardware_ci/run-cpu-test.sh 40m "
      pytest -x -v -s tests/models/language/generation -m cpu_model
      pytest -x -v -s tests/models/language/pooling -m cpu_model"

@@ -70,15 +68,13 @@ 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/e2e/test_cpu_linear_attn_chunked_prefix.py"
+      pytest -x -v -s tests/v1/sample/test_topk_topp_sampler.py::TestTritonTopkTopp"

 - label: CPU-Quantization Model Tests
  depends_on: []
@@ -93,13 +89,11 @@ 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 45m "
+      bash .buildkite/scripts/hardware_ci/run-cpu-test.sh 30m "
      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_w8a8.py"
+      pytest -x -v -s tests/quantization/test_cpu_wna16.py"
      
 - label: CPU-Distributed Tests (PP+TP)
  depends_on: []
@@ -142,7 +136,7 @@ steps:
    - |
      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: 4
+  parallelism: 3

 - label: "Arm CPU Test"
  depends_on: []
@@ -1,80 +0,0 @@
-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'
@@ -79,18 +79,12 @@ 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"
@@ -260,5 +254,3 @@ 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
@@ -9,30 +9,29 @@ 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 docker manifest inspect "$IMAGE" >/dev/null 2>&1; then
-  echo "Image found"
-else
+if [[ -z $(docker manifest inspect "$REGISTRY"/"$REPO":"$BUILDKITE_COMMIT"-arm64) ]]; then
  echo "Image not found, proceeding with build..."
-  # build for arm64 GPU targets: Grace/GH200 (sm_90) 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 12.0" \
-    --build-arg USE_SCCACHE=1 \
-    --build-arg buildkite_commit="$BUILDKITE_COMMIT" \
-    --tag "$IMAGE" \
-    --target test \
-    --progress plain .
-  # push
-  docker push "$IMAGE"
+else
+  echo "Image found"
+  exit 0
 fi

-.buildkite/scripts/annotate-image-build.sh "$IMAGE"
+# build (Grace/GH200 is the arm64 GPU target; sm_90)
+docker build --file docker/Dockerfile \
+  --platform linux/arm64 \
+  --build-arg max_jobs=16 \
+  --build-arg nvcc_threads=4 \
+  --build-arg torch_cuda_arch_list="9.0" \
+  --build-arg USE_SCCACHE=1 \
+  --build-arg buildkite_commit="$BUILDKITE_COMMIT" \
+  --tag "$REGISTRY"/"$REPO":"$BUILDKITE_COMMIT"-arm64 \
+  --target test \
+  --progress plain .
+
+# push
+docker push "$REGISTRY"/"$REPO":"$BUILDKITE_COMMIT"-arm64
@@ -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 docker manifest inspect "$IMAGE" >/dev/null 2>&1; then
-  echo "Image found"
-else
+if [[ -z $(docker manifest inspect "$REGISTRY"/"$REPO":"$BUILDKITE_COMMIT"-cpu) ]]; then
  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"
+else
+  echo "Image found"
+  exit 0
 fi

-.buildkite/scripts/annotate-image-build.sh "$IMAGE"
+# build
+docker build --file docker/Dockerfile.cpu \
+  --build-arg max_jobs=16 \
+  --build-arg buildkite_commit="$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
@@ -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 docker manifest inspect "$IMAGE" >/dev/null 2>&1; then
-  echo "Image found"
-else
+if [[ -z $(docker manifest inspect "$REGISTRY"/"$REPO":"$BUILDKITE_COMMIT"-arm64-cpu) ]]; then
  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"
+else
+  echo "Image found"
+  exit 0
 fi

-.buildkite/scripts/annotate-image-build.sh "$IMAGE"
+# build
+docker build --file docker/Dockerfile.cpu \
+  --build-arg max_jobs=16 \
+  --build-arg buildkite_commit="$BUILDKITE_COMMIT" \
+  --tag "$REGISTRY"/"$REPO":"$BUILDKITE_COMMIT"-arm64-cpu \
+  --target vllm-test \
+  --progress plain .
+
+# push
+docker push "$REGISTRY"/"$REPO":"$BUILDKITE_COMMIT"-arm64-cpu
@@ -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 docker manifest inspect "$IMAGE" >/dev/null 2>&1; then
-  echo "Image found"
-else
+if [[ -z $(docker manifest inspect "$REGISTRY"/"$REPO":"$BUILDKITE_COMMIT"-hpu) ]]; then
  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"
+else
+  echo "Image found"
+  exit 0
 fi

-.buildkite/scripts/annotate-image-build.sh "$IMAGE"
+# build
+docker build \
+  --file tests/pytorch_ci_hud_benchmark/Dockerfile.hpu \
+  --build-arg max_jobs=16 \
+  --build-arg buildkite_commit="$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
@@ -40,7 +40,6 @@ 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..."
@@ -67,5 +66,3 @@ 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"
@@ -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 "$IMAGE" &> /dev/null; then
-  echo "Image found"
-else
+if ! docker manifest inspect "$REGISTRY"/"$REPO":"$BUILDKITE_COMMIT"-xpu &> /dev/null; then
  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"
+else
+  echo "Image found"
+  exit 0
 fi

-.buildkite/scripts/annotate-image-build.sh "$IMAGE"
+# build
+docker build \
+  --file docker/Dockerfile.xpu \
+  --build-arg max_jobs=16 \
+  --build-arg buildkite_commit="$BUILDKITE_COMMIT" \
+  --tag "$REGISTRY"/"$REPO":"$BUILDKITE_COMMIT"-xpu \
+  --progress plain .
+
+# push
+docker push "$REGISTRY"/"$REPO":"$BUILDKITE_COMMIT"-xpu
@@ -5,10 +5,6 @@ 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:
@@ -23,5 +19,4 @@ 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'
@@ -5,10 +5,6 @@ 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:
@@ -1,15 +1,11 @@
 group: Expert Parallelism
-depends_on:
+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:
@@ -5,10 +5,6 @@ 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:
@@ -5,10 +5,6 @@ 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:
@@ -38,10 +34,6 @@ 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:
@@ -62,10 +54,6 @@ 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:
@@ -81,17 +69,11 @@ steps:
      'cd tests &&
      export VLLM_WORKER_MULTIPROC_METHOD=spawn &&
      set -o pipefail &&
-      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'
+      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]"'

 - 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:
@@ -112,10 +94,6 @@ 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:
@@ -130,19 +108,15 @@ 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:
@@ -5,10 +5,6 @@ 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:
@@ -35,10 +31,6 @@ 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:
@@ -65,48 +57,17 @@ steps:
  commands:
    - >-
      bash .buildkite/scripts/hardware_ci/run-intel-test.sh
-      'pip install lm_eval[api]>=0.4.12 &&
-      export VLLM_WORKER_MULTIPROC_METHOD=spawn &&
+      '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/sample/test_topk_topp_sampler.py &&
-      pytest -v -s v1/sample/test_logprobs.py &&
-      pytest -v -s v1/sample/test_logprobs_e2e.py'
-
- 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]'
+      pytest -v -s v1/sample/test_topk_topp_sampler.py'

 - 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:
@@ -127,39 +88,10 @@ steps:
      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:
@@ -182,7 +114,7 @@ steps:
  commands:
  - >-
      bash .buildkite/scripts/hardware_ci/run-intel-test.sh
-      'pip install modelscope\<1.38 &&
+      'pip install modelscope &&
      cd tests &&
      pytest -v -s test_regression.py'

@@ -191,10 +123,6 @@ steps:
  timeout_in_minutes: 30
  num_devices: 2
  device: intel_gpu
-  agent_tags:
-    label: production
-    gpu: 2+
-    mem: 16+
  no_plugin: true
  working_dir: "."
  env:
@@ -226,10 +154,6 @@ steps:
  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:
@@ -1,62 +0,0 @@
-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'
@@ -1,27 +0,0 @@
-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"'
@@ -1,15 +1,11 @@
 group: Models - Multimodal
-depends_on:
+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:
@@ -22,7 +18,7 @@ steps:
  commands:
    - >-
      bash .buildkite/scripts/hardware_ci/run-intel-test.sh
-      'pip install av &&
+      'pip install av git+https://github.com/TIGER-AI-Lab/Mantis.git &&
      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'
@@ -31,10 +27,6 @@ steps:
  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:
@@ -47,17 +39,14 @@ steps:
  commands:
    - >-
      bash .buildkite/scripts/hardware_ci/run-intel-test.sh
-      'cd tests &&
+      'pip install git+https://github.com/TIGER-AI-Lab/Mantis.git &&
+      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:
@@ -70,7 +59,8 @@ steps:
  commands:
    - >-
      bash .buildkite/scripts/hardware_ci/run-intel-test.sh
-      'cd tests &&
+      'pip install git+https://github.com/TIGER-AI-Lab/Mantis.git &&
+      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'

@@ -78,10 +68,6 @@ steps:
  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:
@@ -94,7 +80,7 @@ steps:
  commands:
    - >-
      bash .buildkite/scripts/hardware_ci/run-intel-test.sh
-      'pip install av &&
+      'pip install av git+https://github.com/TIGER-AI-Lab/Mantis.git &&
      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'

@@ -102,10 +88,6 @@ steps:
  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:
@@ -119,9 +101,11 @@ steps:
  commands:
    - >-
      bash .buildkite/scripts/hardware_ci/run-intel-test.sh
-      'pip install av matplotlib ftfy &&
+      'pip install av matplotlib ftfy git+https://github.com/TIGER-AI-Lab/Mantis.git &&
      pip install open-clip-torch --no-deps &&
      cd tests &&
      pytest -v -s models/multimodal/processing/test_tensor_schema.py
+      --deselect "tests/models/multimodal/processing/test_tensor_schema.py::test_model_tensor_schema[mistralai/Mistral-Large-3-675B-Instruct-2512-NVFP4]"
+      --deselect "tests/models/multimodal/processing/test_tensor_schema.py::test_model_tensor_schema[Qwen/Qwen2.5-Omni-7B-AWQ]"
      --num-shards=$$BUILDKITE_PARALLEL_JOB_COUNT --shard-id=$$BUILDKITE_PARALLEL_JOB'
  parallelism: 4
@@ -1,28 +0,0 @@
-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]"'
-
@@ -19,10 +19,6 @@ 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"
@@ -42,46 +38,17 @@ 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"
@@ -99,17 +66,13 @@ 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 --ignore=v1/spec_decode/test_speculators_correctness.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/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"
@@ -124,47 +87,3 @@ steps:
        cd tests &&
        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'
@@ -6,7 +6,9 @@ tasks:
    value: 0.7142
  - name: "exact_match,flexible-extract"
    value: 0.4579
-moe_backend: "flashinfer_cutlass"
+env_vars:
+  VLLM_USE_FLASHINFER_MOE_FP8: "1"
+  VLLM_FLASHINFER_MOE_BACKEND: "throughput"
 limit: 1319
 num_fewshot: 5
 max_model_len: 262144
@@ -68,10 +68,6 @@ 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(
@@ -1,25 +1,12 @@
 # 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:
-  # 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: "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"
  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"
@@ -350,25 +337,6 @@ 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: ~
@@ -464,16 +432,6 @@ 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
@@ -888,6 +846,7 @@ 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:
@@ -1,36 +0,0 @@
-#!/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
@@ -15,10 +15,9 @@ 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 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_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_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=""
@@ -393,16 +392,6 @@ 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"
@@ -536,22 +525,6 @@ 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
@@ -608,7 +581,6 @@ 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

@@ -663,10 +635,6 @@ 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
@@ -708,14 +676,12 @@ 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}"
@@ -725,35 +691,19 @@ configure_ci_base_image_refs() {
    fi
    CI_BASE_IMAGE_TAG="${primary_tag}"
    if [[ "${primary_tag}" == "${content_tag}" ]]; then
-        CI_BASE_IMAGE_TAG_CONTENT_EXTRA=""
+        CI_BASE_IMAGE_TAG_CONTENT=""
    else
-        CI_BASE_IMAGE_TAG_CONTENT_EXTRA="${content_tag}"
+        CI_BASE_IMAGE_TAG_CONTENT="${content_tag}"
    fi
-    if [[ -n "${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
+    export CI_BASE_IMAGE_TAG CI_BASE_IMAGE_TAG_CONTENT 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: ${CI_BASE_IMAGE_TAG}"
-        if [[ -n "${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: ${commit_tag}"
-            fi
+        if [[ -n "${CI_BASE_IMAGE_TAG_COMMIT:-}" ]]; then
+            echo "ci_base commit image tag: ${CI_BASE_IMAGE_TAG_COMMIT}"
        fi
        echo "ci_base content image tag: ${content_tag}"
        if [[ -n "${CI_BASE_IMAGE_TAG_STABLE}" ]]; then
@@ -762,10 +712,6 @@ 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

@@ -782,8 +728,8 @@ ci_base_candidate_refs() {
    printf '%s\n' \
        "${IMAGE_TAG:-}" \
        "${CI_BASE_IMAGE_TAG:-}" \
-        "${CI_BASE_IMAGE_TAG_COMMIT_EXTRA:-}" \
-        "${CI_BASE_IMAGE_TAG_CONTENT_EXTRA:-}" \
+        "${CI_BASE_IMAGE_TAG_COMMIT:-}" \
+        "${CI_BASE_IMAGE_TAG_CONTENT:-}" \
        "${CI_BASE_IMAGE_TAG_STABLE:-}" \
        | awk 'NF && !seen[$0]++'
 }
@@ -797,10 +743,6 @@ find_matching_ci_base_ref() {
        remote_image_exists "${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
@@ -875,10 +817,6 @@ 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
@@ -1060,104 +998,12 @@ 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
@@ -1173,23 +1019,16 @@ 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" = ""
-EOF
-        write_ci_base_metadata_labels "${metadata}" >> "${CI_BASE_LABEL_OVERRIDE_PATH}"
-        cat >> "${CI_BASE_LABEL_OVERRIDE_PATH}" <<EOF
+    "vllm.ci_base.content_hash" = "${CI_BASE_CONTENT_HASH}"
  }
 }

@@ -1197,7 +1036,7 @@ EOF
    done

    BAKE_FILES+=(-f "${CI_BASE_LABEL_OVERRIDE_PATH}")
-    echo "Appended ci_base metadata label override for targets: ${ci_base_targets[*]}"
+    echo "Appended ci_base content-hash label override for targets: ${ci_base_targets[*]}"
 }

 uses_rocm_csrc_cache() {
@@ -1280,18 +1119,6 @@ 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
@@ -1714,13 +1541,7 @@ 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}" == "${CI_BASE_CONTENT_HASH}" ]]; then
-            if remote_ci_base_metadata_is_current_with_retry "${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
+            return 0
        fi

        echo "Remote image exists but does not have the expected ci_base content hash."
@@ -1795,10 +1616,7 @@ seed_dependency_caches_if_needed() {

        echo "--- :docker: Seeding ${target}"
        echo "Expected cache ref: ${cache_ref}"
-        docker buildx bake \
-            "${BAKE_FILES[@]}" \
-            --progress "${BUILDKIT_PROGRESS:-plain}" \
-            "${target}"
+        docker buildx bake "${BAKE_FILES[@]}" --progress plain "${target}"
        verify_dependency_cache_ref "${cache_ref}"
    done
 }
@@ -1826,10 +1644,7 @@ run_bake() {
    local build_rc=0

    echo "--- :docker: Building ${TARGET}"
-    docker buildx bake \
-        "${BAKE_FILES[@]}" \
-        --progress "${BUILDKIT_PROGRESS:-plain}" \
-        "${BAKE_TARGETS[@]}" || build_rc=$?
+    docker buildx bake "${BAKE_FILES[@]}" --progress plain "${BAKE_TARGETS[@]}" || build_rc=$?

    if [[ ${build_rc} -eq 0 ]]; then
        echo "--- :white_check_mark: Build complete"
@@ -1909,16 +1724,15 @@ 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
@@ -13,8 +13,5 @@ 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"
@@ -1,178 +1,74 @@
 #!/bin/bash
-# Fetch vLLM Buildkite CI logs (public; no login required).
+# Usage: ./ci-fetch-log.sh <buildkite_job_url> [output_file]
+#        ./ci-fetch-log.sh <build_number> <job_uuid> [output_file]
 #
-# 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]
+# 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.
 #
-# --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.
+# 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.

 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() {
-    sed -n '2,15p' "$0" | sed 's/^# \{0,1\}//'
+    echo "Usage: $0 <buildkite_job_url> [output_file]"
+    echo "       $0 <build_number> <job_uuid> [output_file]"
    exit 1
 }

-die() {
-    echo "$1" >&2
-    exit 1
-}
+if [ $# -lt 1 ]; then usage; fi

-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://*)
+if [[ "$1" == https://* ]]; then
    BUILD=$(echo "$1" | sed -nE 's#.*/builds/([0-9]+).*#\1#p')
-    JOB=$(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)
+    JOB=$(echo "$1" | grep -oE '[0-9a-f]{8}-[0-9a-f-]+' | head -n 1)
    OUT="${2:-}"
-    [ -n "$BUILD" ] || die "Could not parse build number from: $1"
-    ;;
-[0-9]*)
-    [ $# -ge 2 ] || usage
+else
+    if [ $# -lt 2 ]; then usage; fi
    BUILD="$1"
    JOB="$2"
    OUT="${3:-}"
-    ;;
-*)
+fi
+
+if [ -z "$BUILD" ] || [ -z "$JOB" ]; then
+    echo "Could not parse build number or job UUID from: $1" >&2
    usage
-    ;;
-esac
+fi
+
+# Jobs in the same build share the UUID's first segment, so include the
+# second segment (chars 9-13, e.g. "019e6b07-daae") to keep default filenames
+# unique when fetching multiple jobs from one build in parallel.
+if [ -z "$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

 COOKIES=$(mktemp)
-JOBS_TSV=$(mktemp)
-trap 'rm -f "$COOKIES" "$JOBS_TSV"' EXIT
+trap 'rm -f "$COOKIES"' EXIT

-# Buildkite issues a session cookie on first hit; later requests need it.
-curl -fsSL -c "$COOKIES" -A "$UA" \
+# Buildkite issues a session cookie on first hit; subsequent /download needs it.
+curl -fsSL -c "$COOKIES" -A "vllm-ci-fetch-log" \
    "https://buildkite.com/${ORG}/${PIPELINE}/builds/${BUILD}" -o /dev/null

-# 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/${BUILD}/data/jobs" |
-    python3 -c '
-import json, re, sys
+curl -fsSL -b "$COOKIES" -A "vllm-ci-fetch-log" \
+    "https://buildkite.com/organizations/${ORG}/pipelines/${PIPELINE}/builds/${BUILD}/jobs/${JOB}/download" \
+    -o "$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 ${BUILD}"
+bash "$(dirname "$0")/ci-clean-log.sh" "$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: ${SCOPE})." >&2
-fi
+echo "$OUT"
@@ -28,17 +28,6 @@
 ###############################################################################
 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:+${PYTEST_ADDOPTS} }--color=yes"
-fi
-export BUILDKIT_PROGRESS TERM FORCE_COLOR CLICOLOR_FORCE PY_COLORS PYTEST_ADDOPTS ROCM_DOCKER_TTY
-
 # Export Python path for commands that run directly on the host. Containerized
 # tests set this to /vllm-workspace below so spawned Python processes do not
 # depend on their current working directory.
@@ -160,7 +149,6 @@ EOF
  echo "--- Building local ROCm test image"
  docker build \
    --pull=false \
-    --progress "${BUILDKIT_PROGRESS}" \
    --build-arg "BASE_IMAGE=${base_image}" \
    -t "${artifact_image}" \
    "${context_dir}" || return 1
@@ -379,20 +367,6 @@ 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
@@ -452,26 +426,6 @@ 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}}"
@@ -547,37 +501,14 @@ 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=${HF_HUB_ETAG_TIMEOUT}" \
@@ -585,11 +516,6 @@ else
    -e AWS_SECRET_ACCESS_KEY \
    -e BUILDKITE_PARALLEL_JOB \
    -e BUILDKITE_PARALLEL_JOB_COUNT \
-    -e TERM \
-    -e FORCE_COLOR \
-    -e CLICOLOR_FORCE \
-    -e PY_COLORS \
-    -e PYTEST_ADDOPTS \
    -v "${HF_CACHE}:${HF_MOUNT}" \
    -e "HF_HOME=${HF_MOUNT}" \
    -e "PYTHONPATH=${MYPYTHONPATH}" \
@@ -599,7 +525,6 @@ else
    -e "VLLM_CACHE_ROOT=${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} && ${commands}"
@@ -8,7 +8,7 @@ set -ex
 CORE_RANGE=${CORE_RANGE:-0-31}
 OMP_CORE_RANGE=${OMP_CORE_RANGE:-0-31}

-export CMAKE_BUILD_PARALLEL_LEVEL=32
+export CMAKE_BUILD_PARALLEL_LEVEL=16

 # Setup cleanup
 remove_docker_container() {
@@ -37,10 +37,8 @@ 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_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"
+    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"

  # skip tests requiring model downloads if HF_TOKEN is not set
  # due to rate-limits
@@ -64,6 +62,7 @@ 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
@@ -7,49 +7,10 @@ set -euox pipefail
 # allow to bind to different cores
 CORE_RANGE=${CORE_RANGE:-48-95}
 NUMA_NODE=${NUMA_NODE:-1}
-AGENT_SLOT=${AGENT_SLOT:-}
-IMAGE_NAME="cpu-test-${NUMA_NODE}${AGENT_SLOT:+-${AGENT_SLOT}}"
+IMAGE_NAME="cpu-test-$NUMA_NODE"
 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 "$IMAGE_NAME" --target vllm-test -f docker/Dockerfile.cpu .
@@ -1,52 +0,0 @@
-#!/bin/bash
-
-set -euo pipefail
-
-test_suite="${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: ${test_suite}" >&2
-    exit 1
-    ;;
-esac
@@ -243,10 +243,8 @@ container_name="xpu_${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 [[ $# -gt 0 ]]; then
  all_yaml=true
@@ -305,12 +303,8 @@ if [[ -z "$commands" ]]; then
 fi

 echo "Raw commands: $commands"
-if [[ "$commands_source" != "env" ]]; then
-  commands=$(re_quote_pytest_markers "$commands")
-  echo "After re-quoting: $commands"
-else
-  echo "Skipping re-quoting for VLLM_TEST_COMMANDS input"
-fi
+commands=$(re_quote_pytest_markers "$commands")
+echo "After re-quoting: $commands"
 commands=$(apply_intel_test_overrides "$commands")
 echo "Final commands: $commands"

@@ -360,7 +354,7 @@ export HF_TOKEN ZE_AFFINITY_MASK
    --ipc=host \
    --privileged \
    -v /dev/dri/by-path:/dev/dri/by-path \
-    -v "/data/huggingface:/root/.cache/huggingface" \
+    -v "${HOME}/.cache/huggingface:/root/.cache/huggingface" \
    --entrypoint='' \
    -e HF_TOKEN \
    -e ZE_AFFINITY_MASK \
@@ -369,7 +363,7 @@ export HF_TOKEN ZE_AFFINITY_MASK
    -e CMDS \
    --name "${container_name}" \
    "${IMAGE}" \
-    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"' \
+    bash -c 'set -e; echo "ZE_AFFINITY_MASK is ${ZE_AFFINITY_MASK:-}"; eval "$CMDS"' \
    >/dev/null
 } 9>/tmp/docker-pull.lock

@@ -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<1.38'
+    pip install pytest>=6.0  modelscope

 WORKDIR /workspace/vllm

@@ -4,11 +4,6 @@

 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}"
@@ -1,32 +0,0 @@
-#!/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: ${CI_BASE_PUSH_STABLE_TAG}"
-    fi
-
-    bash .buildkite/scripts/ci-bake-rocm.sh ci-base-rocm-ci-with-deps
-}
-
-main "$@"
@@ -1,57 +0,0 @@
-#!/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" && "${base_refreshed}" != "1" ]]; then
-        echo "ROCM_CI_ARTIFACT_ONLY=1; building ROCm wheel artifact only"
-        IMAGE_TAG="" bash .buildkite/scripts/ci-bake-rocm.sh test-rocm-ci-with-artifacts
-        return
-    fi
-
-    bash .buildkite/scripts/ci-bake-rocm.sh test-rocm-ci-with-wheel
-}
-
-main "$@"
@@ -1,513 +0,0 @@
-#!/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 "$@"
@@ -1,32 +0,0 @@
-#!/usr/bin/env bash
-# Fast structural smoke test for the full ROCm CI image.
-
-set -euo pipefail
-
-image_ref="${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
-'
@@ -109,9 +109,7 @@ run_nodes() {
        if [ "$node" -ne 0 ]; then
            docker exec -d "node$node" /bin/bash -c "cd $WORKING_DIR ; ${COMMANDS[$node]}"
        else
-            # 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]}"
+            docker exec "node$node" /bin/bash -c "cd $WORKING_DIR ; ${COMMANDS[$node]}"
        fi
    done
 }
@@ -8,12 +8,7 @@ if [[ "$MODE" != "style-clippy" && "$MODE" != "test" ]]; then
  exit 2
 fi

-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
+ROOT_DIR="$(git rev-parse --show-toplevel)"
 cd "$ROOT_DIR"

 export CARGO_TERM_COLOR="${CARGO_TERM_COLOR:-always}"
@@ -95,16 +90,6 @@ install_cargo_sort() {
  cargo binstall --no-confirm cargo-sort
 }

-install_cargo_deny() {
-  if command -v cargo-deny >/dev/null 2>&1; then
-    return
-  fi
-
-  log_section "Installing cargo-deny"
-  install_cargo_binstall
-  cargo binstall --no-confirm cargo-deny
-}
-
 install_cargo_nextest() {
  if command -v cargo-nextest >/dev/null 2>&1; then
    return
@@ -157,7 +142,6 @@ PY

 run_style_clippy() {
  install_cargo_sort
-  install_cargo_deny

  log_section "Checking Rust formatting"
  cargo fmt --manifest-path rust/Cargo.toml --all -- --check
@@ -165,13 +149,6 @@ 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 \
@@ -33,14 +33,6 @@ 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
@@ -18,10 +18,6 @@ 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
@@ -1,13 +0,0 @@
-#!/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}
@@ -15,7 +15,7 @@ steps:
    - pytest -v -s v1/attention
  mirror:
    amd:
-      device: mi325_1
+      device: mi300_1
      timeout_in_minutes: 70
      depends_on:
      - image-build-amd
@@ -16,9 +16,3 @@ 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: 50
-      depends_on:
-      - image-build-amd
@@ -11,11 +11,6 @@ steps:
  - 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
@@ -28,4 +23,4 @@ steps:
  - benchmarks/attention_benchmarks/
  - vllm/v1/attention/
  commands:
-  - python3 benchmarks/attention_benchmarks/benchmark.py --backends flash flashinfer --batch-specs "8q1s1k"
+  - python3 benchmarks/attention_benchmarks/benchmark.py --backends flash flashinfer --batch-specs "8q1s1k" --repeats 1 --warmup-iters 1
@@ -2,8 +2,8 @@ group: CUDA
 depends_on: 
  - image-build
 steps:
- label: Platform Tests
-  key: platform-tests
+- label: Platform Tests (CUDA)
+  key: platform-tests-cuda
  timeout_in_minutes: 15
  device: h200_18gb
  source_file_dependencies:
@@ -13,20 +13,6 @@ 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: 110
-      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
@@ -39,19 +25,6 @@ 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
@@ -63,19 +36,6 @@ 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: 50
-      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
@@ -88,19 +48,6 @@ 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: 110
-      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
@@ -113,33 +60,6 @@ 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: 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
-        - 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
@@ -169,20 +89,6 @@ 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: 60
-      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
@@ -37,21 +37,6 @@ 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
@@ -174,8 +159,8 @@ 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 (8xH100)
-  key: distributed-tests-8xh100
+- label: Distributed Tests (8 GPUs)(H100)
+  key: distributed-tests-8-gpus-h100
  timeout_in_minutes: 10
  device: h100
  num_devices: 8
@@ -195,8 +180,8 @@ 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 (4xA100)
-  key: distributed-tests-4xa100
+- label: Distributed Tests (4 GPUs)(A100)
+  key: distributed-tests-4-gpus-a100
  device: a100
  optional: true
  num_devices: 4
@@ -210,8 +195,8 @@ 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 (2xH100-2xMI300)
-  key: distributed-tests-2xh100-2xmi300
+- label: Distributed Tests (2 GPUs)(H100)
+  key: distributed-tests-2-gpus-h100
  timeout_in_minutes: 15
  device: h100
  optional: true
@@ -225,15 +210,15 @@ 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 (2xB200)
-  key: distributed-tests-2xb200
+- label: Distributed Tests (2 GPUs)(B200)
+  key: distributed-tests-2-gpus-b200
  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.py
+    - pytest -v -s tests/distributed/test_nccl_symm_mem_allreduce.py
    - pytest -v -s tests/v1/distributed/test_dbo.py
    - pytest -v -s tests/distributed/test_mnnvl_alltoall.py

@@ -2,8 +2,8 @@ group: E2E Integration
 depends_on: 
  - image-build
 steps:
- label: DeepSeek V2-Lite Sync EPLB Accuracy (4xH100)
-  key: deepseek-v2-lite-sync-eplb-accuracy-4xh100
+- label: DeepSeek V2-Lite Sync EPLB Accuracy
+  key: deepseek-v2-lite-sync-eplb-accuracy
  timeout_in_minutes: 60
  device: h100
  optional: true
@@ -12,8 +12,8 @@ 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 (4xH100)
-  key: qwen3-30b-a3b-fp8-block-sync-eplb-accuracy-4xh100
+- label: Qwen3-30B-A3B-FP8-block Sync EPLB Accuracy
+  key: qwen3-30b-a3b-fp8-block-sync-eplb-accuracy
  timeout_in_minutes: 60
  device: h100
  optional: true
@@ -22,8 +22,8 @@ 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 (2xB200)
-  key: qwen3-30b-a3b-fp8-block-sync-eplb-accuracy-2xb200
+- label: Qwen3-30B-A3B-FP8-block Sync EPLB Accuracy (B200)
+  key: qwen3-30b-a3b-fp8-block-sync-eplb-accuracy-b200
  timeout_in_minutes: 60
  device: b200-k8s
  optional: true
@@ -28,7 +28,7 @@ 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: mi325_1
+      device: mi300_1
      timeout_in_minutes: 60
      depends_on:
      - image-build-amd
@@ -44,7 +44,7 @@ steps:
    - pytest -v -s v1/engine --ignore v1/engine/test_preprocess_error_handling.py
  mirror:
    amd:
-      device: mi325_1
+      device: mi300_1
      timeout_in_minutes: 40
      depends_on:
      - image-build-amd
@@ -60,7 +60,7 @@ steps:
    - pytest -v -s v1/e2e/general/test_async_scheduling.py
  mirror:
    amd:
-      device: mi325_1
+      device: mi250_1
      timeout_in_minutes: 60
      depends_on:
      - image-build-amd
@@ -74,16 +74,6 @@ steps:
    - 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: 35
-      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
@@ -112,11 +102,6 @@ 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
@@ -29,8 +29,6 @@ steps:
  mirror:
    amd:
      device: mi325_1
-      # TODO(akaratza): Test after Torch >= 2.12 bump
-      soft_fail: true
      depends_on:
      - image-build-amd

@@ -42,15 +40,13 @@ steps:
  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: mi325_1
+      device: mi300_1
      depends_on:
      - image-build-amd

@@ -67,7 +63,7 @@ steps:
  - 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
+      device: mi300_1
      timeout_in_minutes: 80
      depends_on:
      - image-build-amd
@@ -86,7 +82,7 @@ steps:
  - pytest -v -s entrypoints/openai/completion --ignore=entrypoints/openai/completion/test_tensorizer_entrypoint.py
  mirror:
    amd:
-      device: mi325_1
+      device: mi300_1
      timeout_in_minutes: 80
      depends_on:
      - image-build-amd
@@ -108,7 +104,7 @@ steps:
  - pytest -v -s entrypoints/anthropic
  mirror:
    amd:
-      device: mi325_1
+      device: mi300_1
      timeout_in_minutes: 60
      depends_on:
      - image-build-amd
@@ -169,7 +165,7 @@ steps:
  - pytest -s entrypoints/openai/correctness/
  mirror:
    amd:
-      device: mi325_1
+      device: mi300_1
      depends_on:
      - image-build-amd
      source_file_dependencies:
@@ -14,16 +14,6 @@ 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
@@ -47,10 +47,8 @@ steps:
  - 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
@@ -76,33 +74,6 @@ 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: 55
-      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
@@ -116,11 +87,10 @@ steps:
  parallelism: 2
  mirror:
    amd:
-      device: mi325_1
+      device: mi300_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
@@ -144,22 +114,6 @@ 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: 50
-      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
@@ -270,12 +224,12 @@ steps:
  - vllm/utils/import_utils.py
  - tests/kernels/helion/
  commands:
-    - pip install helion==1.1.0
+    - pip install helion==1.0.0
    - pytest -v -s kernels/helion/

 
- label: Kernels FP8 MoE Test (1xH100)
-  key: kernels-fp8-moe-test-1xh100
+- label: Kernels FP8 MoE Test (1 H100)
+  key: kernels-fp8-moe-test-1-h100
  timeout_in_minutes: 90
  device: h100
  num_devices: 1
@@ -291,8 +245,8 @@ 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 (2xH100)
-  key: kernels-fp8-moe-test-2xh100
+- label: Kernels FP8 MoE Test (2 H100s)
+  key: kernels-fp8-moe-test-2-h100s
  timeout_in_minutes: 90
  device: h100
  num_devices: 2
@@ -14,7 +14,7 @@ steps:
  - pytest -s -v evals/gsm8k/test_gsm8k_correctness.py --config-list-file=configs/models-small.txt
  mirror:
    amd:
-      device: mi325_1
+      device: mi300_1
      timeout_in_minutes: 55
      depends_on:
      - image-build-amd
@@ -28,8 +28,7 @@ steps:
      - vllm/_aiter_ops.py
      - vllm/platforms/rocm.py

-# - label: LM Eval Large Models (4xA100)
-#   key: lm-eval-large-models-4xa100
+# - label: LM Eval Large Models (4 GPUs)(A100)
 #   device: a100
 #   optional: true
 #   num_devices: 4
@@ -41,8 +40,8 @@ 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 (4xH100)
-  key: lm-eval-large-models-4xh100
+- label: LM Eval Large Models (4 GPUs)(H100)
+  key: lm-eval-large-models-4-gpus-h100
  device: h100
  optional: true
  num_devices: 4
@@ -54,8 +53,8 @@ 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 (1xB200)
-  key: lm-eval-small-models-1xb200
+- label: LM Eval Small Models (B200)
+  key: lm-eval-small-models-b200
  timeout_in_minutes: 120
  device: b200-k8s
  optional: true
@@ -65,21 +64,8 @@ steps:
  commands:
  - pytest -s -v evals/gsm8k/test_gsm8k_correctness.py --config-list-file=configs/models-blackwell.txt

- 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
+- label: LM Eval Large Models (B200, EP)
+  key: lm-eval-large-models-b200-ep
  timeout_in_minutes: 120
  device: b200-k8s
  optional: true
@@ -90,8 +76,8 @@ 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 (2xB200)
-  key: lm-eval-qwen3-5-models-2xb200
+- label: LM Eval Qwen3.5 Models (B200)
+  key: lm-eval-qwen3-5-models-b200
  timeout_in_minutes: 120
  device: b200-k8s
  optional: true
@@ -107,24 +93,14 @@ steps:
  commands:
  - pytest -s -v evals/gsm8k/test_gsm8k_correctness.py --config-list-file=configs/models-qwen35-blackwell.txt

- label: LM Eval Large Models (8xH200)
-  key: lm-eval-large-models-8xh200
+- label: LM Eval Large Models (H200)
+  key: lm-eval-large-models-h200
  timeout_in_minutes: 60
  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: 180
-      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
@@ -150,97 +126,6 @@ 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: 120
-  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: 120
-  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: 120
-  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: 120
-  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: 120
-  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: 120
-  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
@@ -254,8 +139,8 @@ 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) (2xH100)
-  key: gpqa-eval-gpt-oss-2xh100
+- label: GPQA Eval (GPT-OSS) (H100)
+  key: gpqa-eval-gpt-oss-h100
  timeout_in_minutes: 120
  device: h100
  optional: true
@@ -268,8 +153,8 @@ 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) (2xB200)
-  key: gpqa-eval-gpt-oss-2xb200
+- label: GPQA Eval (GPT-OSS) (B200)
+  key: gpqa-eval-gpt-oss-b200
  timeout_in_minutes: 120
  device: b200-k8s
  optional: true
@@ -282,63 +167,6 @@ 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: 120
-  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: 60
-  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: 60
-  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
@@ -12,17 +12,6 @@ steps:
  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: 60
-      source_file_dependencies:
-      - vllm/lora
-      - tests/lora
-      - vllm/platforms/rocm.py
-      depends_on:
-      - image-build-amd


 - label: LoRA TP (Distributed)
@@ -21,12 +21,6 @@ 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: 65
-      depends_on:
-      - image-build-amd

 - label: V1 Sample + Logits
  key: v1-sample-logits
@@ -103,14 +97,8 @@ steps:
    - pytest -v -s -m 'not cpu_test' v1/kv_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/vllm-project/lm-evaluation-harness.git@streaming-api
+    - pip install -U git+https://github.com/robertgshaw2-redhat/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: 60
-      depends_on:
-      - image-build-amd

 - label: V1 Others (CPU)
  key: v1-others-cpu
@@ -150,26 +138,11 @@ 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
@@ -188,7 +161,7 @@ steps:
  - vllm/v1/
  - tests/test_regression
  commands:
-  - pip install 'modelscope<1.38'
+  - pip install modelscope
  - pytest -v -s test_regression.py
  working_dir: "/vllm-workspace/tests" # optional

@@ -224,16 +197,6 @@ 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
@@ -260,12 +223,6 @@ 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
@@ -278,16 +235,6 @@ steps:
  - setup.py
  commands:
  - bash standalone_tests/python_only_compile.sh
-  mirror:
-    amd:
-      device: mi325_1
-      timeout_in_minutes: 20
-      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
@@ -346,12 +293,10 @@ 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
@@ -364,15 +309,13 @@ steps:
  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 reasoning
+  - pytest -v -s reasoning --ignore=reasoning/test_seedoss_reasoning_parser.py --ignore=reasoning/test_glm4_moe_reasoning_parser.py
  - pytest -v -s tool_parsers
  - pytest -v -s tokenizers_
  - pytest -v -s parser
@@ -23,16 +23,3 @@ 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
@@ -18,7 +18,9 @@ steps:
  - set -x
  - export VLLM_USE_V2_MODEL_RUNNER=1
  - pytest -v -s v1/engine/test_llm_engine.py -k "not test_engine_metrics"
-  - pytest -v -s v1/e2e/general/test_async_scheduling.py -k "not ngram"
+  # 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_context_length.py
  - pytest -v -s v1/e2e/general/test_min_tokens.py
  # Temporary hack filter to exclude ngram spec decoding based tests.
@@ -6,6 +6,7 @@ steps:
  key: basic-models-tests-initialization
  timeout_in_minutes: 45
  device: h200_18gb
+  torch_nightly: true
  source_file_dependencies:
  - vllm/
  - tests/models/test_initialization.py
@@ -13,6 +14,8 @@ 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
@@ -28,6 +31,8 @@ steps:
    # 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: {}

 - label: Basic Models Tests (Other)
  device: h200_35gb
@@ -36,15 +41,10 @@ steps:
  source_file_dependencies:
  - vllm/
  - tests/models/test_terratorch.py
-  - tests/models/transformers/test_backend.py
+  - tests/models/test_transformers.py
  - tests/models/test_registry.py
  commands:
-    - 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
+    - pytest -v -s models/test_terratorch.py models/test_transformers.py models/test_registry.py

 - label: Basic Models Test (Other CPU) # 5min
  key: basic-models-test-other-cpu
@@ -55,7 +55,6 @@ steps:
  - 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 models/transformers/fusers/
+    - pytest -v -s models/test_utils.py models/test_vision.py
@@ -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/transformers/test_backend.py -v -s -m 'distributed(num_gpus=2)'
+  - pytest models/test_transformers.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
@@ -14,10 +14,7 @@ steps:
    - pip freeze | grep -E 'torch'
    - pytest -v -s models/language -m 'core_model and (not slow_test)'
  mirror:
-    amd:
-      device: mi300_1
-      depends_on:
-      - image-build-amd
+    torch_nightly: {}

 - label: Language Models Tests (Extra Standard) %N
  key: language-models-tests-extra-standard
@@ -34,21 +31,7 @@ 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:
-    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
+    torch_nightly: {}

 - label: Language Models Tests (Hybrid) %N
  key: language-models-tests-hybrid
@@ -65,6 +48,7 @@ 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
@@ -10,11 +10,12 @@ 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: mi325_1
+      device: mi300_1
      depends_on:
      - image-build-amd

@@ -26,12 +27,13 @@ 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 "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: mi325_1
+      device: mi300_1
      depends_on:
      - image-build-amd

@@ -43,11 +45,12 @@ 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 "not qwen2 and not qwen3 and not gemma"
    - pytest -v -s models/multimodal/generation/test_qwen2_vl.py -m core_model
  mirror:
    amd:
-      device: mi325_1
+      device: mi300_1
      depends_on:
      - image-build-amd

@@ -59,15 +62,10 @@ steps:
  - vllm/
  - tests/models/multimodal
  commands:
-    - 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
+    - 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 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)
  key: multi-modal-processor-cpu
@@ -80,6 +78,7 @@ steps:
  - 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

 - label: Multi-Modal Processor # 44min
@@ -91,6 +90,7 @@ steps:
  - 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
@@ -104,17 +104,6 @@ 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
@@ -124,6 +113,7 @@ 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:
@@ -140,6 +130,7 @@ 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)
@@ -150,6 +141,7 @@ 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)
@@ -163,7 +155,7 @@ steps:
    - pytest -v -s models/multimodal/pooling -m 'not core_model'
  mirror:
    amd:
-      device: mi325_1
+      device: mi300_1
      timeout_in_minutes: 60
      depends_on:
      - image-build-amd
@@ -27,21 +27,12 @@ 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
@@ -49,17 +40,3 @@ steps:
  - 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
@@ -107,12 +107,6 @@ steps:
    - tests/compile/passes
  commands:
  - pytest -s -v compile/passes --ignore compile/passes/distributed
-  mirror:
-    amd:
-      device: mi300_1
-      timeout_in_minutes: 180
-      depends_on:
-      - image-build-amd

 - label: PyTorch Fullgraph Smoke Test
  key: pytorch-fullgraph-smoke-test
@@ -195,11 +189,3 @@ 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
@@ -21,18 +21,6 @@ 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: 30
-  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
@@ -15,26 +15,24 @@ 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 -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/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/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"
-  # 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 entrypoints/openai/test_return_token_ids.py
+  # - 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
@@ -47,24 +45,19 @@ steps:
  - vllm/entrypoints/serve/
  - vllm/v1/engine/
  - tests/utils.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/dev/rpc/test_collective_rpc.py
+  - tests/entrypoints/serve/disagg/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
-  - 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/dev/rpc/test_collective_rpc.py
  - pytest -v -s entrypoints/serve/instrumentator/test_basic.py -k "not show_version and not server_load"
-  # 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/disagg/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
@@ -106,13 +99,9 @@ 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"
@@ -19,7 +19,7 @@ steps:
    - VLLM_USE_FLASHINFER_SAMPLER=1 pytest -v -s samplers
  mirror:
    amd:
-      device: mi325_1
+      device: mi250_1
      depends_on:
      - image-build-amd
      commands:
@@ -12,20 +12,6 @@ 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: 45
-      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
@@ -53,7 +39,7 @@ steps:
    - pytest -v -s v1/e2e/spec_decode -k "speculators or mtp_correctness"
  mirror:
    amd:
-      device: mi325_1
+      device: mi300_1
      timeout_in_minutes: 65
      depends_on:
      - image-build-amd
@@ -92,10 +78,8 @@ steps:
    - pytest -v -s v1/e2e/spec_decode -k "ngram or suffix"
  mirror:
    amd:
-      device: mi325_1
+      device: mi300_1
      timeout_in_minutes: 65
-      # TODO(akaratza): Test after Torch >= 2.12 bump
-      soft_fail: true
      depends_on:
      - image-build-amd
      source_file_dependencies:
@@ -119,7 +103,7 @@ steps:
    - pytest -v -s v1/e2e/spec_decode -k "draft_model or no_sync or batch_inference"
  mirror:
    amd:
-      device: mi325_1
+      device: mi300_1
      timeout_in_minutes: 50
      depends_on:
      - image-build-amd
@@ -13,13 +13,6 @@ 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"
@@ -1,35 +0,0 @@
---
-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.
@@ -2,16 +2,17 @@
 # for more info about CODEOWNERS file

 # This lists cover the "core" components of vLLM that require careful review
-/vllm/compilation @zou3519 @youkaichao @ProExpertProg @BoyuanFeng
-/vllm/distributed/kv_transfer @NickLucche @ApostaC @orozery @xuechendi @ivanium
+/vllm/compilation @zou3519 @youkaichao @ProExpertProg @BoyuanFeng @vadiklyutiy
+/vllm/distributed/kv_transfer @NickLucche @ApostaC @orozery @xuechendi
 /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/qwen_gdn_linear_attn.py @tdoublep @ZJY0516 @vadiklyutiy
+/vllm/model_executor/layers/mamba/gdn_linear_attn.py @tdoublep @ZJY0516 @vadiklyutiy
+/vllm/model_executor/layers/rotary_embedding.py @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
@@ -23,7 +24,7 @@
 # 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 @yewentao256 @ProExpertProg
-/vllm/config/cache.py @heheda12345 @ivanium
+/vllm/config/cache.py @heheda12345

 # Config utils
 /vllm/config/utils.py @hmellor
@@ -67,20 +68,19 @@
 /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 @ivanium
+/vllm/v1/core @WoosukKwon @robertgshaw2-redhat @njhill @ywang96 @alexm-redhat @heheda12345 @ApostaC @orozery
 /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 @ivanium
+/vllm/v1/kv_cache_interface.py @heheda12345
 /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 @ivanium
+/vllm/v1/worker/kv_connector_model_runner_mixin.py @orozery @NickLucche

 # Model runner V2
-/vllm/v1/worker/gpu @WoosukKwon @njhill @yewentao256
+/vllm/v1/worker/gpu @WoosukKwon @njhill
 /vllm/v1/worker/gpu/kv_connector.py @orozery

 # CI & building
@@ -104,14 +104,13 @@
 /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 @ivanium
+/tests/v1/core @WoosukKwon @robertgshaw2-redhat @njhill @ywang96 @alexm-redhat @heheda12345 @ApostaC @orozery
 /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 @ivanium
+/tests/v1/kv_connector @ApostaC @orozery
 /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
@@ -119,7 +118,17 @@

 # Transformers modeling backend
 /vllm/model_executor/models/transformers @hmellor
-/tests/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

 # Docs
 /docs/mkdocs @hmellor
@@ -1,7 +0,0 @@
-# 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
@@ -21,6 +21,7 @@ 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"
@@ -144,12 +144,12 @@ pull_request_rules:
    - label != stale
    - or:
      - files~=^examples/.*mistral.*\.py
-      - files~=^tests/.*(?:mistral|voxtral|mixtral|pixtral).*\.py
-      - files~=^vllm/model_executor/models/.*(?:mistral|voxtral|mixtral|pixtral).*\.py
+      - files~=^tests/.*mistral.*\.py
+      - files~=^vllm/model_executor/models/.*mistral.*\.py
      - files~=^vllm/reasoning/.*mistral.*\.py
      - files~=^vllm/tool_parsers/.*mistral.*\.py
-      - files~=^vllm/transformers_utils/.*(?:mistral|voxtral|pixtral).*\.py
-      - title~=(?i)(?:mistral|ministral|voxtral|mixtral|pixtral)
+      - files~=^vllm/transformers_utils/.*mistral.*\.py
+      - title~=(?i)Mistral
  actions:
    label:
      add:
@@ -388,13 +388,9 @@ 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:
@@ -327,7 +327,7 @@ jobs:
                message: 'CC {users} for ROCm-related issue',
              },
              mistral: {
-                users: ['patrickvonplaten', 'juliendenize', 'andylolu2', 'NickLucche'],
+                users: ['patrickvonplaten', 'juliendenize', 'andylolu2'],
                message: 'CC {users} for Mistral-related issue',
              },
              // Add more label -> user mappings here
@@ -11,25 +11,13 @@ permissions:

 jobs:
  macos-m1-smoke-test:
-    # 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 }}
+    runs-on: macos-latest
    timeout-minutes: 30

    steps:
-      - uses: actions/checkout@9c091bb21b7c1c1d1991bb908d89e4e9dddfe3e0 # v7.0.0
+      - uses: actions/checkout@v6.0.1

-      - uses: astral-sh/setup-uv@37802adc94f370d6bfd71619e3f0bf239e1f3b78 # v7.6.0
+      - uses: astral-sh/setup-uv@v7
        with:
          enable-cache: true
          cache-dependency-glob: |
@@ -84,11 +72,14 @@ jobs:
          # Test health endpoint
          curl -f http://localhost:8000/health

-          # Long prompt: hits the split-KV path that short prompts skip (#46769).
-          PAYLOAD=$(python -c "import json; print(json.dumps({'model': 'Qwen/Qwen3-0.6B', 'prompt': 'The quick brown fox jumps over the lazy dog. ' * 24, 'max_tokens': 16}))")
-          curl -f --max-time 120 http://localhost:8000/v1/completions \
+          # Test completion
+          curl -f http://localhost:8000/v1/completions \
            -H "Content-Type: application/json" \
-            -d "$PAYLOAD"
+            -d '{
+              "model": "Qwen/Qwen3-0.6B",
+              "prompt": "Hello",
+              "max_tokens": 5
+            }'

          # Cleanup
          kill "$SERVER_PID"
@@ -28,8 +28,7 @@ jobs:
            pull_number: context.payload.pull_request.number,
          });

-          const readyLabels = ['ready', 'ready-run-all-tests'];
-          const hasReadyLabel = pr.labels.some(l => readyLabels.includes(l.name));
+          const hasReadyLabel = pr.labels.some(l => l.name === 'ready');
          const hasVerifiedLabel = pr.labels.some(l => l.name === 'verified');

          const { data: mergedPRs } = await github.rest.search.issuesAndPullRequests({
@@ -41,22 +40,18 @@ 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', '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}).`);
+            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}).`);
          }

  pre-commit:
    needs: pre-run-check
    if: always() && (needs.pre-run-check.result == 'success' || needs.pre-run-check.result == 'skipped')
-    runs-on: [self-hosted, linux, x64, vllm-runners]
+    runs-on: ubuntu-latest
    steps:
-    - uses: actions/checkout@9c091bb21b7c1c1d1991bb908d89e4e9dddfe3e0 # v7.0.0
+    - uses: actions/checkout@8e8c483db84b4bee98b60c0593521ed34d9990e8 # v6.0.1
    - 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"
@@ -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
@@ -17,10 +17,7 @@ $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
-# 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"
+export TORCH_CUDA_ARCH_LIST="7.5 8.0 8.6 8.9 9.0 10.0 12.0+PTX"

 bash tools/check_repo.sh

@@ -15,9 +15,6 @@ 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

@@ -199,9 +196,7 @@ cython_debug/
 .vscode/

 # Claude
-.claude/*
-!.claude/skills/
-!.claude/skills/**
+.claude/

 # Codex
 .codex/
@@ -238,7 +233,7 @@ actionlint
 shellcheck*/

 # Ignore moe/marlin_moe gen code
-csrc/libtorch_stable/moe/marlin_moe_wna16/kernel_*
+csrc/moe/marlin_moe_wna16/kernel_*

 # Ignore ep_kernels_workspace folder
 ep_kernels_workspace/
@@ -21,7 +21,7 @@ repos:
  rev: v21.1.2
  hooks:
  - id: clang-format
-    exclude: 'csrc/libtorch_stable/moe/topk_softmax_kernels.cu|vllm/third_party/.*'
+    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/.*'
    types_or: [c++, cuda]
    args: [--style=file, --verbose]
 - repo: https://github.com/DavidAnson/markdownlint-cli2
@@ -131,19 +131,6 @@ 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
@@ -29,7 +29,6 @@ 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
@@ -67,38 +66,23 @@ VLLM_USE_PRECOMPILED=1 uv pip install -e . --torch-backend=auto
 uv pip install -e . --torch-backend=auto
 ```

-### Tests
+### Running tests

 > Requires [Environment setup](#environment-setup) and [Installing dependencies](#installing-dependencies).

 ```bash
-# Install test dependencies (use cuda.in on non-x86_64):
-uv pip install -r requirements/test/cuda.in
+# 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

-# Run a specific test file:
+# Run a specific test file (use .venv/bin/python directly;
+# `source activate` does not persist in non-interactive shells):
 .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).
@@ -121,20 +105,16 @@ 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:`):
+Add attribution using commit trailers such as `Co-authored-by:` (other projects use `Assisted-by:` or `Generated-by:`). For example:

 ```text
 Your commit message here

-Co-authored-by: Agent Name Here
+Co-authored-by: GitHub Copilot
+Co-authored-by: Claude
+Co-authored-by: gemini-code-assist
 Signed-off-by: Your Name <your.email@example.com>
 ```

@@ -146,12 +126,6 @@ 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.
@@ -34,15 +34,6 @@ 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.
@@ -108,6 +108,7 @@ python benchmark.py \
    --backends flash triton flashinfer \
    --batch-specs "q2k" "8q1s1k" "2q2k_32q1s1k" \
    --num-layers 10 \
+    --repeats 5 \
    --output-csv results.csv
 ```

@@ -163,17 +164,14 @@ 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)
--warmup-ms N                       # Warmup window in ms for triton do_bench
+--repeats N                         # Repetitions
+--warmup-iters N                    # Warmup iterations
 --profile-memory                    # Profile memory usage

 # Parameter sweeps
@@ -213,6 +211,8 @@ config = BenchmarkConfig(
    num_kv_heads=1,
    block_size=128,
    device="cuda:0",
+    repeats=5,
+    warmup_iters=3,
 )

 # CUTLASS MLA with specific num_kv_splits
@@ -253,10 +253,14 @@ formatter.save_json(results, "output.json")

 ## Tips

-**1. Save results** - Always use `--output-csv` or `--output-json`
+**1. Warmup matters** - Use `--warmup-iters 10` for stable results

-**2. Test incrementally** - Start with `--num-layers 1`
+**2. Multiple repeats** - Use `--repeats 20` for low variance

-**3. Extended grammar** - Leverage spec decode, chunked prefill patterns
+**3. Save results** - Always use `--output-csv` or `--output-json`

-**4. Parameter sweeps** - Use `--sweep-param` and `--sweep-values` to find optimal values
+**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
@@ -26,9 +26,6 @@ Examples:
 """

 import argparse
-import os
-import shutil
-import subprocess
 import sys
 from dataclasses import replace
 from pathlib import Path
@@ -53,16 +50,6 @@ 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
@@ -96,15 +83,13 @@ 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=error_msg,
+            error=str(e),
        )


@@ -130,12 +115,9 @@ def run_model_parameter_sweep(
    """
    all_results = []

-    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.param_name} = {sweep.values}[/]"
    )
-    console.print(f"[yellow]Model sweep mode: testing {sweep_desc}[/]")

    total = len(backends) * len(batch_specs) * len(sweep.values)

@@ -143,9 +125,9 @@ 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(s)
+                    # Create config with modified model parameter
                    config_args = base_config_args.copy()
-                    sweep.apply(config_args, value)
+                    config_args[sweep.param_name] = value

                    # Create config with original backend for running
                    clean_config = BenchmarkConfig(
@@ -162,21 +144,13 @@ 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} {err_label}"
-                            f": {result.error}[/]"
+                            f"[red]Error {backend} {spec} {sweep.param_name}="
+                            f"{value}: {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)
@@ -210,10 +184,7 @@ def run_model_parameter_sweep(
    )

    for param_value in sorted_param_values:
-        label = (
-            f"{sweep.param_name} = {param_value}" if sweep.param_name else param_value
-        )
-        console.print(f"\n[bold cyan]{label}[/]")
+        console.print(f"\n[bold cyan]{sweep.param_name} = {param_value}[/]")
        param_results = by_param_value[param_value]

        # Create modified results with original backend names
@@ -229,9 +200,8 @@ 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_name}, batch_spec):[/]"
+        f"\n[bold cyan]Optimal backend for each ({sweep.param_name}, batch_spec):[/]"
    )

    # Group by (param_value, batch_spec)
@@ -266,10 +236,7 @@ def run_model_parameter_sweep(
    for param_value, spec in sorted_keys:
        # Print header when param value changes
        if param_value != current_param_value:
-            header = (
-                f"{sweep.param_name}={param_value}" if sweep.param_name else param_value
-            )
-            console.print(f"\n  [bold]{header}:[/]")
+            console.print(f"\n  [bold]{sweep.param_name}={param_value}:[/]")
            current_param_value = param_value

        results = by_param_and_spec[(param_value, spec)]
@@ -355,9 +322,6 @@ 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]
@@ -495,20 +459,6 @@ 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(
@@ -524,35 +474,11 @@ 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(
-        "--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("--repeats", type=int, default=1, help="Repetitions")
+    parser.add_argument("--warmup-iters", type=int, default=3, help="Warmup iterations")
    parser.add_argument("--profile-memory", action="store_true", help="Profile memory")
    parser.add_argument(
        "--kv-cache-dtype",
@@ -565,33 +491,10 @@ def main():
        action=argparse.BooleanOptionalAction,
        default=True,
        help=(
-            "Use triton do_bench_cudagraph (True) or do_bench (False) "
-            "for timing. CUDA graphs eliminate CPU launch overhead "
-            "(default: True)"
+            "Launch kernels with CUDA graphs to eliminate CPU overhead"
+            "in measurements (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(
@@ -642,12 +545,6 @@ 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)

@@ -679,28 +576,23 @@ 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 "warmup_ms" in yaml_config:
-            args.warmup_ms = yaml_config["warmup_ms"]
+        if "repeats" in yaml_config:
+            args.repeats = yaml_config["repeats"]
+        if "warmup_iters" in yaml_config:
+            args.warmup_iters = yaml_config["warmup_iters"]
        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:
@@ -720,7 +612,7 @@ 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.get("param_name"),
+                param_name=sweep_config["param_name"],
                values=sweep_config["values"],
                label_format=sweep_config.get(
                    "label_format", "{backend}_{param_name}_{value}"
@@ -739,32 +631,6 @@ 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)
@@ -789,18 +655,6 @@ 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)
@@ -808,68 +662,8 @@ 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
-    elif hasattr(args, "mode") and args.mode == "decode_vs_prefill":
+    if 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[/]"
@@ -914,11 +708,11 @@ 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
@@ -955,7 +749,6 @@ 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"],
@@ -977,7 +770,6 @@ 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"),
@@ -987,9 +779,6 @@ def main():

                pbar.update(1)

-        if args.ncu_profile:
-            return
-
        # Display decode vs prefill results
        console.print("\n[bold green]Decode vs Prefill Results:[/]")

@@ -1069,20 +858,15 @@ 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,
@@ -1098,17 +882,15 @@ 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
@@ -1132,17 +914,15 @@ 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)
@@ -1155,10 +935,9 @@ def main():

                        pbar.update(1)

-            if not args.ncu_profile:
-                console.print("\n[bold green]Results:[/]")
-                formatter = ResultsFormatter(console)
-                formatter.print_table(decode_results, backends)
+            console.print("\n[bold green]Results:[/]")
+            formatter = ResultsFormatter(console)
+            formatter.print_table(decode_results, backends)

        # Run prefill backend comparison
        if prefill_backends:
@@ -1183,8 +962,9 @@ 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,
                        )

@@ -1200,17 +980,16 @@ def main():

                        pbar.update(1)

-            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
-                )
+            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 (skip ncu profiling runs: timings are placeholder zeros)
-    if all_results and not args.ncu_profile:
+    # Save results
+    if all_results:
        formatter = ResultsFormatter(console)
        if args.output_csv:
            formatter.save_csv(all_results, args.output_csv)
@@ -15,8 +15,6 @@ 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]:
    """
@@ -36,30 +34,6 @@ 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


@@ -208,37 +182,18 @@ class ParameterSweep:

@dataclass
 class ModelParameterSweep:
-    """Configuration for sweeping model configuration parameter(s).
+    """Configuration for sweeping a model configuration parameter."""

-    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}"
+    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

    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:
@@ -253,10 +208,10 @@ 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"
@@ -271,7 +226,6 @@ 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
@@ -280,7 +234,6 @@ class BenchmarkResult:

    config: BenchmarkConfig
    mean_time: float  # seconds
-    median_time: float  # seconds
    std_time: float  # seconds
    min_time: float  # seconds
    max_time: float  # seconds
@@ -299,7 +252,6 @@ 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,
@@ -56,6 +56,8 @@ 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
@@ -1,44 +0,0 @@
-# MLA prefill FP8-output microbenchmark (FA4).
-# Compares the fused FP8 write against bf16 attention + a standalone static-FP8
-# quant; the delta is the post-quant kernel the fused path removes.
-# DeepSeek-Coder-V2-Lite dims; FA4 needs SM100/110.
-#
-# Usage:
-#   python benchmark.py --config configs/mla_fa4_fp8_output.yaml
-
-description: "MLA prefill FA4 fused-FP8 output vs post-quant"
-
-model:
-  name: "deepseek-v2-lite"
-  num_layers: 27
-  num_q_heads: 16
-  num_kv_heads: 1
-  head_dim: 576
-  kv_lora_rank: 512
-  qk_nope_head_dim: 128
-  qk_rope_head_dim: 64
-  v_head_dim: 128
-  block_size: 128
-
-# Pure prefill (q_len == kv_len) so every token goes through forward_mha.
-batch_specs:
-  - "q512"
-  - "q1k"
-  - "q2k"
-  - "q4k"
-  - "q8k"
-  - "2q4k"
-  - "4q4k"
-  - "8q4k"
-
-# Only used to construct the MLA impl; the pure-prefill specs skip decode.
-decode_backends:
-  - CUTLASS_MLA
-
-# Sweep the two FP8 write paths (prefill backend is fixed to fa4).
-fp8_output_scale: 0.1
-fuse_quant_op: [false, true]
-
-device: "cuda:0"
-repeats: 50
-warmup_iters: 10
@@ -51,6 +51,8 @@ backends:
  - FLASHMLA         # Hopper only

 device: "cuda:0"
+repeats: 5
+warmup_iters: 3
 profile_memory: true

 # Analyze chunked prefill workspace size impact
@@ -124,3 +124,5 @@ prefill_backends:
  - tokenspeed

 device: "cuda:0"
+repeats: 20
+warmup_iters: 5
@@ -53,4 +53,6 @@ backends:
  - FLASHINFER_MLA_SPARSE

 device: "cuda:0"
+repeats: 100
+warmup_iters: 10
 profile_memory: true
@@ -57,4 +57,6 @@ backends:
  - FLASHINFER_MLA_SPARSE

 device: "cuda:0"
+repeats: 10
+warmup_iters: 3
 profile_memory: true
@@ -63,6 +63,8 @@ model:

 # Benchmark settings
 device: "cuda:0"
+repeats: 15          # More repeats for spec decode variance
+warmup_iters: 5
 profile_memory: false

 # Output
@@ -49,6 +49,8 @@ backends:

 # Benchmark settings
 device: "cuda:0"
+repeats: 10  # More repeats for statistical significance
+warmup_iters: 5
 profile_memory: false

 # Test these threshold values for optimization
@@ -43,4 +43,6 @@ backends:
  - FLASHINFER

 device: "cuda:0"
+repeats: 5
+warmup_iters: 3
 profile_memory: false
--- a/Show More
+++ b/Show More
Author	SHA1	Message	Date
Bugen Zhao	efa494e397	refactor setup.py to extract stuff into `build_rust.py` Signed-off-by: Bugen Zhao <i@bugenzhao.com>	2026-06-10 22:39:17 +08:00
Bugen Zhao	74b77a593a	update dockerfile image Signed-off-by: Bugen Zhao <i@bugenzhao.com>	2026-06-10 22:38:24 +08:00
Bugen Zhao	ec53889a3b	simplify to only match .so, as .dylib will also be renamed to .so under macos Signed-off-by: Bugen Zhao <i@bugenzhao.com>	2026-06-10 22:13:09 +08:00
Bugen Zhao	ede3d4ddf6	skip tests when _rust_tool_parser is absent Signed-off-by: Bugen Zhao <i@bugenzhao.com>	2026-06-10 22:12:48 +08:00
Bugen Zhao	7301a834fa	fix glob issue Signed-off-by: Bugen Zhao <i@bugenzhao.com>	2026-06-10 22:06:14 +08:00
Bugen Zhao	7104ac6b5d	simplify `setup.py` Signed-off-by: Bugen Zhao <i@bugenzhao.com>	2026-06-10 11:40:33 +00:00
Bugen Zhao	9a98eccb49	cover two calls case Signed-off-by: Bugen Zhao <i@bugenzhao.com>	2026-06-10 09:50:02 +00:00
Bugen Zhao	2ce1e2ba71	do not infer `finished` but just leave it unhandled Signed-off-by: Bugen Zhao <i@bugenzhao.com>	2026-06-10 09:50:02 +00:00
Bugen Zhao	2496f66f7f	Run tool parser tests before tokenizer tests Signed-off-by: Bugen Zhao <i@bugenzhao.com>	2026-06-10 09:50:02 +00:00
Bugen Zhao	d18b7f2723	Build Rust parser extension in Docker rust stage Signed-off-by: Bugen Zhao <i@bugenzhao.com>	2026-06-10 09:50:02 +00:00
Bugen Zhao	80b633f076	ci: configure PyO3 Python for Rust tests Signed-off-by: Bugen Zhao <i@bugenzhao.com>	2026-06-10 09:50:02 +00:00
Bugen Zhao	28f589ebb1	do not enable pyo3 on `--all-features` Signed-off-by: Bugen Zhao <i@bugenzhao.com>	2026-06-10 09:50:02 +00:00
Bugen Zhao	98998279d4	fix fmt & try import Signed-off-by: Bugen Zhao <i@bugenzhao.com>	2026-06-10 09:50:01 +00:00
Bugen Zhao	71d208089e	add tests with deepseek v4 Signed-off-by: Bugen Zhao <i@bugenzhao.com>	2026-06-10 09:50:01 +00:00
Bugen Zhao	0ac6fc8352	Add Rust tool parser Python bridge Signed-off-by: Bugen Zhao <i@bugenzhao.com>	2026-06-10 09:50:01 +00:00