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Published : Nov 05, 2025
NOT ON THE CURRENT EDITION
This blip is not on the current edition of the Radar. If it was on one of the last few editions, it is likely that it is still relevant. If the blip is older, it might no longer be relevant and our assessment might be different today. Unfortunately, we simply don't have the bandwidth to continuously review blips from previous editions of the Radar. Understand more
Nov 2025
Assess ?

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.

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