Unverified50% confidenceFactExact time
The prefill stage refers to the process in which the model processes the input prompt all at once; the computation is proportional to input length, and in long-document scenarios the time to first token (TTFT) is significantly prolonged.
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50%
Confidence
Long-term
Relevance
10/12/2026
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Related Claims
UnverifiedIn the inference pipeline, the Prefill stage is compute-intensive and time-consuming, while the Decode stage performs token-by-token autoregressive generation and is sensitive to latency.77% similarUnverified传统混合部署中Prefill阶段的大批量计算会阻塞Decode阶段的token生成，导致TTFT波动剧烈75% similarUnverifiedModern large model inference typically uses batching technology to improve GPU utilization, and backlogs in the batching queue during peak periods cause the time to first token (TTFT) to become longer.73% similarUnverified对流式响应场景，应重点关注首Token延迟（TTFT）而非整体完成时间71% similarVerifiedInference latency is typically decomposed into two core metrics: time to first token (TTFT) and subsequent token generation throughput.69% similar
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