Agentic Inference Turns KV Cache Management Into a Scheduling Problem

This deep dive frames tool-using LLM serving as a stateful KV-cache scheduling problem. It traces what happens when agents wait on tools—GPU residency, eviction, restoration, and prefill recomputation—and compares the resulting latency and throughput tradeoffs.

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#llm_inference #kv_cache #agents