Show HN: KVBoost – chunk-level KV cache reuse for HuggingFace, 5–48x faster TTFT

Category: library

Tags: llm-inference, kv-cache, huggingface

Score: 7.0/10 (Innovation: 7, Technical: 7, Documentation: 3, Utility: 7)

KVBoost optimizes LLM inference by reusing KV cache at the chunk level, achieving 5–48x faster time-to-first-token without model changes. It integrates FlashAttention-2 and AWQ streaming, targeting memory-bound inference bottlenecks.

Target audience: backend devs, data engineers

Repository: https://pythongiant.github.io/KVBoost/

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