Improve TTFT for multi-turn agentic workloads with bi-directional KV transfer in vLLM.

AWS describes a bi-directional KV cache transfer technique for vLLM that lets prefill and decode nodes reuse previously computed context across turns in multi-turn agentic workloads, cutting time to first token by up to 1.6x.

Why it matters: It offers a way to reduce latency in multi-turn agent workflows by avoiding reprocessing of growing conversation context.

Written by AI from AWS Machine Learning Blog's published text.