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Cloud GPU thermal throttling slows LLM inference speed by 7.4%

By PulseAugur Editorial · [1 sources] ·

A technical guide demonstrates how thermal throttling impacts LLM performance on cloud GPUs, specifically using a Google Cloud Nvidia T4 serving Gemma 4 E2B. The experiment found that as the GPU's temperature rose from 45°C to 77°C, its decoding speed decreased by 7.4%. This slowdown is attributed to the GPU drawing more power at higher temperatures, causing its clock speed to be reduced to stay within the 70W power limit, even though the thermal throttle itself never engaged. AI

IMPACT Highlights the importance of considering sustained load performance and thermal management for cloud GPU inference, not just peak benchmark speeds.

RANK_REASON Technical guide detailing performance characteristics of hardware under load. [lever_c_demoted from research: ic=1 ai=0.7]

Read on dev.to — LLM tag →

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

Cloud GPU thermal throttling slows LLM inference speed by 7.4%

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14 / 100
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Technical guide detailing performance characteristics of hardware under load. [lever_c_demoted from research: ic=1 ai=0.7]
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COVERAGE [1]

  1. dev.to — LLM tag TIER_1 English(EN) · xbill ·

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

    <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…

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