CacheFlow is a SaaS platform that optimizes AI model inference by intelligently caching and reusing intermediate computations (KV cache) at a chunk level. Inspired by “KVBoost – chunk-level KV cache reuse for HuggingFace,” CacheFlow significantly reduces the time to first token (TTFT) and overall inference latency for large language models. It integrates seamlessly with existing AI frameworks and provides a dashboard for monitoring cache hit rates and performance gains. This addresses the growing need for faster and more efficient AI deployments, especially in real-time applications.