KVBoost brings 5–48x speedups to HuggingFace via chunk-level KV cache reuse

KVBoost optimizes time-to-first-token (TTFT) for LLM inference by reusing cached key-value pairs across requests at the chunk level. The technique works within HuggingFace's ecosystem and delivers measurable gains without requiring model changes—useful for anyone running inference at scale or building latency-sensitive applications.