English(EN) One Knob, 19x Latency: What I Learned Benchmarking vLLM on a Single GPU

vLLM 基准测试揭示 19 倍延迟悬崖和非确定性输出

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-23 14:31

在单个 GeForce RTX 3060 上对 vLLM 进行基准测试，结果显示基于配置设置的性能变化显著。一个参数 max-num-seqs，在压力条件下从 32 增加到 128 时，首次标记时间 (TTFT) 增加了 19 倍。研究还发现，llm-jp-1.8B 模型比 Swallow-8B AWQ 的请求服务速度快 3.6 倍，部分原因归功于 vLLM 的优化内核。此外，使用 Swallow-8B AWQ 的推理模型即使在温度为 0 时也表现出非确定性输出，在 50 次运行中有 10 次输出不同。 AI

影响强调了压力测试配置和验证模型确定性对于可靠的 LLM 部署至关重要。

排序理由基准测试结果和 LLM 服务性能分析。[lever_c_demoted from research: ic=1 ai=1.0]

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dev.to — LLM tag TIER_1 English(EN) · Raihan · 2026-10-23 14:31

One Knob, 19x Latency: What I Learned Benchmarking vLLM on a Single GPU

I built a small serving harness that measures latency, throughput, AND output drift per config. It found a 19x latency cliff on a single knob, a 3.6x model speed gap — and a reasoning model that can't reproduce its own outputs at temperature 0. <a class="articl…

本文如何被排名

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One Knob, 19x Latency: What I Learned Benchmarking vLLM on a Single GPU

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