[KongchangAI]
ConceptCache-Aware Routing

Cache-Aware Routing

A routing strategy in LLM inference serving that preferentially sends requests to replicas already holding the same prefix in cache, reusing the KV cache to reduce prefill computation. The trade-off is potentially increased queueing latency.

Timeline (last 90 days)

Oct 21

llm-d 1.0 introduces cache-aware routing, which incorporates cache state into routing decisions and directs requests to backend instances that already hold the relevant context.

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Oct 12

Cache-aware routing preferentially sends requests to replicas that already have the same prefix in cache; when the cache is hit, prefill is almost zero, and first-token latency drops significantly.

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