Audience
AI engineers and infrastructure teams looking for a tool to lower latency, reduce compute cost, and scale throughput
About LMCache
LMCache is an open source Knowledge Delivery Network (KDN) designed as a caching layer for large language model serving that accelerates inference by reusing KV (key-value) caches across repeated or overlapping computations. It enables fast prompt caching, allowing LLMs to “prefill” recurring text only once and then reuse those stored KV caches, even in non-prefix positions, across multiple serving instances. This approach reduces time to first token, saves GPU cycles, and increases throughput in scenarios such as multi-round question answering or retrieval augmented generation. LMCache supports KV cache offloading (moving cache from GPU to CPU or disk), cache sharing across instances, and disaggregated prefill, which separates the prefill and decoding phases for resource efficiency. It is compatible with inference engines like vLLM and TGI and supports compressed storage, blending techniques to merge caches, and multiple backend storage options.
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Pricing
Starting Price:
Free
Free Version:
Free Version available.
Integrations
No integrations listed.
Company Information
LMCache
United States
lmcache.ai/
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Product Details
Platforms Supported
Cloud
Training
Documentation
Live Online
Support
Online
LMCache Frequently Asked Questions
Q: What kinds of users and organization types does LMCache work with?
LMCache works with these users and organization types: Mid Size Business, Small Business, Enterprise, Freelance, Nonprofit, Government, and Startup.
Q: What languages does LMCache support in their product?
LMCache supports these languages: English.
Q: What kind of support options does LMCache offer?
LMCache offers support via online.
Q: What type of training does LMCache provide?
LMCache provides training in the form of documentation and live online.
Q: How much does LMCache cost?
Pricing for LMCache starts at Free.
