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[Docs] remove outdated performance benchmark (#20935)

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Signed-off-by: Kuntai Du <kuntai@uchicago.edu>
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Kuntai Du
2025-07-14 15:14:17 -07:00
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@ -63,8 +63,6 @@ vLLM is fast with:
- Speculative decoding
- Chunked prefill
**Performance benchmark**: We include a performance benchmark at the end of [our blog post](https://blog.vllm.ai/2024/09/05/perf-update.html). It compares the performance of vLLM against other LLM serving engines ([TensorRT-LLM](https://github.com/NVIDIA/TensorRT-LLM), [SGLang](https://github.com/sgl-project/sglang) and [LMDeploy](https://github.com/InternLM/lmdeploy)). The implementation is under [nightly-benchmarks folder](.buildkite/nightly-benchmarks/) and you can [reproduce](https://github.com/vllm-project/vllm/issues/8176) this benchmark using our one-click runnable script.
vLLM is flexible and easy to use with:
- Seamless integration with popular Hugging Face models