Unverified50% confidenceFactExact time
The Prefill stage is a compute-intensive task, with GPU utilization typically reaching 60–80%.
1
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50%
Confidence
Long-term
Relevance
9/10/2026
First Seen
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Related Claims
UnverifiedAccording to surveys by organizations such as MLCommons, the average effective GPU utilization in large-scale industry training tasks is generally in the range of 40%–60%.74% similarVerifiedContinuous batching immediately removes completed sequences and inserts new requests after each decoding step, raising GPU utilization from 30–50% in traditional approaches to over 80%.74% similarUnverifiedIn a complete AI application system, GPU inference typically accounts for only 30%–40% of total compute, with the remaining 60%–70% of the compute load borne by the CPU.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71% similarUnverified许多推理服务的GPU利用率不足30%，通过VGPU技术可将利用率提升至70%以上71% similar
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