Unverified50% confidenceTradeoffExact time
GPU systems involve a trade-off between overall token throughput and single-user response speed: the more users connected, the slower each user receives an answer
1
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50%
Confidence
Long-term
Relevance
10/8/2026
First Seen
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Related Claims
UnverifiedThe 4.8x figure refers to the ratio of total tokens processed per GPU per second at the point where single-user response speed is identical, not that answers are 4.8x faster or that 4.8x more users can be served simultaneously79% similarUnverifiedGPU utilization can rise from 20%–30% during low traffic to 70%–80% during high traffic, because larger request volumes make it easier to aggregate into larger compute batches76% similarUnverified对于MuJoCo、Atari等环境，单个环境的采样速度往往跟不上GPU计算能力，导致GPU利用率长期停留在20%–40%甚至更低72% similarUnverifiednvidia-smi报告的GPU利用率本质上只统计采样时间窗口内GPU上至少有一个内核在执行的时间占比，而非计算资源的实际占用率70% similarVerifiedDuring the autoregressive decoding phase, GPU compute utilization is often less than 10%, making it a memory-intensive operation.70% similar
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