In the news
Improve TTFT for Multi-Turn Agentic Workloads with Bi-Directional KV Transfer in vLLM
vLLM · Sunita Nadampalli (AWS) · Published · 3 min read
In 30 seconds
- What happened
- vLLM added bi-directional KV cache transfer between prefill and decode nodes to reduce redundant computation in multi-turn conversations.
- Why it matters
- Matters for engineers building conversational agents or agentic systems where growing context causes repeated prefill recomputation and rising latency.
- Watch out
- Bi-directional transfer adds network overhead; only beneficial above a configurable token threshold. Fixed TTL for retained blocks requires tuning to conversation patterns.
- agent
- agentic
- llm
- prompt
- vllm
The patterns behind this
Each one covers how the technique works, when it earns its cost, and where it breaks.
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