Improve TTFT for multi-turn agentic workloads with bi-directional KV transfer in vLLM
精选理由
了解双向KV缓存传输如何降低多轮智能体首Token延迟,提升推理效率。
AI 摘要
Multi-turn agentic workloads reprocess growing conversation context each turn, driving up latency. See how bi-directional KV cache transfer lets prefill and decode nodes reuse previously computed context across turns, cutting time to first token by up to 1.6x for Qwen3-32B and 3.3x for GLM-5-FP8 on Amazon EC2 P5en instances with EFA.