vLLM introduces bi‑directional KV cache transfer to speed up multi‑turn agentic workloads. The technique lets prefill and decode nodes reuse context, cutting time to first token by up to 1.6× for Qwen3‑32B and 3.3× for GLM‑5‑FP8 on Amazon EC2 P5en with EFA. This boosts latency‑sensitive LLM applications.
Opening Kapyn…