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LLM Serving Engines: vLLM vs. SGLang Performance Under Scrutiny

By PulseAugur Editorial · [1 sources] ·

A new research paper published on arXiv evaluates the performance of LLM serving engines, specifically vLLM and SGLang. The study found that default configurations can lead to significant performance disparities, with vLLM showing up to 64x slower median time to first token compared to SGLang. By matching specific configurations, such as chunked prefill, the performance gap was substantially reduced, indicating that cache architecture and configuration play crucial roles in LLM serving efficiency. AI

IMPACT Highlights the critical role of configuration and cache architecture in LLM serving efficiency, impacting deployment strategies.

RANK_REASON Academic paper evaluating LLM serving engines. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.LG →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

LLM Serving Engines: vLLM vs. SGLang Performance Under Scrutiny

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Academic paper evaluating LLM serving engines. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.LG TIER_1 English(EN) · Muhammad Faizan Anwar, Sina Keshvadi ·

    A Controlled Experimental Evaluation of Configuration and Cache Architecture in LLM Serving Engines

    arXiv:2611.05991v1 Announce Type: cross Abstract: Multi-agent LLM applications repeat most of their prompt tokens across requests, and serving engines reuse the cached state of shared prefixes. vLLM and SGLang reuse it at different granularities, and benchmarks of their default d…

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