LMCache

LMCache is a key-value (KV) cache solution that accelerates LLM serving infrastructure. It acts as a specialized caching layer across a pool of LLM inference engines, storing precomputed KV cache entries for texts likely to be processed multiple times, such as chat histories or document collections. By persisting these values on disk, prefill computations can be offloaded from the GPU, reducing time-to-first-token (TTFT) and cutting inference costs across demanding workloads like RAG pipelines, multi-turn chat applications and agentic systems. You can integrate LMCache with major inference servers such as vLLM or NVIDIA Dynamo and think it’s worth assessing its impact on your setup.