vLLM's Bi-Directional KV Transfer Cuts TTFT Up to 3.3x on Multi-Turn Agentic Workloads
vLLM Blog · rss · 2026-10-12
The vLLM blog details a bi-directional KV transfer feature that lets prefill nodes reuse previously computed KV caches from decode nodes on later conversation turns.
- Gain: up to 3.3x lower TTFT on long multi-turn prompts
- How it works: skips redundant prefill recompute when a conversation continues across turns
- Why it matters: agentic workloads are inherently multi-turn with long shared prefixes, so reusing KV across nodes cuts both latency and inference cost
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