forked from Karylab-cklius/vllm
- Add PushAllReduce to benchmark_device_communicators.py for comparing against other allreduce implementations - Add PUSH_AR to _log_all_reduce_backend_selection in cuda_communicator.py for visibility in dispatch logging Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> Signed-off-by: Alexander Matveev <alexm-redhat@dgx-b200-02.mgmt.accl-001.lab.rdu2.dc.redhat.com>
Benchmarks
This directory used to contain vLLM's benchmark scripts and utilities for performance testing and evaluation.
Contents
- Serving benchmarks: Scripts for testing online inference performance (latency, throughput)
- Throughput benchmarks: Scripts for testing offline batch inference performance
- Specialized benchmarks: Tools for testing specific features like structured output, prefix caching, long document QA, request prioritization, and multi-modal inference
- Dataset utilities: Framework for loading and sampling from various benchmark datasets (ShareGPT, HuggingFace datasets, synthetic data, etc.)
Usage
For detailed usage instructions, examples, and dataset information, see the Benchmark CLI documentation.
For full CLI reference see: