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Signed-off-by: Tsai, Louie <louie.tsai@intel.com> Signed-off-by: Louie Tsai <louie.tsai@intel.com> Co-authored-by: Li, Jiang <bigpyj64@gmail.com>
27 lines
1.5 KiB
Markdown
27 lines
1.5 KiB
Markdown
# Benchmark Suites
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vLLM contains two sets of benchmarks:
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- [Performance benchmarks][performance-benchmarks]
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- [Nightly benchmarks][nightly-benchmarks]
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[](){ #performance-benchmarks }
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## Performance Benchmarks
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The performance benchmarks are used for development to confirm whether new changes improve performance under various workloads. They are triggered on every commit with both the `perf-benchmarks` and `ready` labels, and when a PR is merged into vLLM.
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The latest performance results are hosted on the public [vLLM Performance Dashboard](https://hud.pytorch.org/benchmark/llms?repoName=vllm-project%2Fvllm).
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More information on the performance benchmarks and their parameters can be found [here](gh-file:.buildkite/nightly-benchmarks/performance-benchmarks-descriptions.md).
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[](){ #nightly-benchmarks }
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## Nightly Benchmarks
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These compare vLLM's performance against alternatives (`tgi`, `trt-llm`, and `lmdeploy`) when there are major updates of vLLM (e.g., bumping up to a new version). They are primarily intended for consumers to evaluate when to choose vLLM over other options and are triggered on every commit with both the `perf-benchmarks` and `nightly-benchmarks` labels.
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The latest nightly benchmark results are shared in major release blog posts such as [vLLM v0.6.0](https://blog.vllm.ai/2024/09/05/perf-update.html).
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More information on the nightly benchmarks and their parameters can be found [here](gh-file:.buildkite/nightly-benchmarks/nightly-descriptions.md).
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