English(EN) Don't Assume Your Cloud T4 Runs at Spec: Gemma 4 Decode Falls 7% as the Card Warms

云 GPU 热节流导致 LLM 推理速度减慢 7.4%

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-16 15:14

一份技术指南演示了热节流如何影响云 GPU 上的 LLM 性能，特别是使用 Google Cloud Nvidia T4 运行 Gemma 4 E2B。实验发现，随着 GPU 温度从 45°C 上升到 77°C，其解码速度下降了 7.4%。这种减速归因于 GPU 在较高温度下消耗更多功率，导致其时钟速度降低以保持在 70W 功率限制内，尽管热节流本身从未启动。 AI

影响强调了在云 GPU 推理中考虑持续负载性能和热管理的重要性，而不仅仅是峰值基准速度。

排序理由详细说明硬件在负载下性能特征的技术指南。[lever_c_demoted from research: ic=1 ai=0.7]

在 dev.to — LLM tag 阅读 →

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Signal score: 14 / 100; Composite score across the factors below. Higher = stronger signal that this story matters right now.
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报道来源 [1]

dev.to — LLM tag TIER_1 English(EN) · xbill · 2026-10-16 15:14

别以为你的云 T4 运行在规格上：Gemma 4 解码器在卡片升温时下降 7%

<p>This article provides a step by step guide to measuring how a cloud GPU's temperature changes LLM decode speed, on the NVIDIA Tesla T4 of a Google Cloud VM serving Gemma 4 E2B with vLLM. Every log, script and number is committed.</p> <p><a href="https://github.com/xbill9/t4-th…

本文如何被排名

报道来源 [1]

别以为你的云 T4 运行在规格上：Gemma 4 解码器在卡片升温时下降 7%

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