Unverified50% confidenceFactExact time
tokens/s指标可细分为首token延迟(TTFT)和生成速率(Generation Throughput)两个子维度
1
Sources
50%
Confidence
Long-term
Relevance
7/11/2026
First Seen
Sources
vLLM推理框架详解:吞吐优化核心原理与面试攻略
bilibiliAI大模型升升6/9/2026
Related Claims
Unverified推理延迟通常分解为首token延迟(TTFT)和后续token生成吞吐量两个核心指标71% 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64% similarUnverified自回归生成具有串行依赖性,第N个Token必须等待第N-1个Token生成完毕,导致大模型输出速度通常只有每秒数十Token64% 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64% similarUnverifiedLLMOps核心指标包括每千Token成本、首Token延迟(TTFT)、提示词命中率和幻觉发生频率63% similar
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