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ease
features
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support

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Description

LMCache is an innovative open-source Knowledge Delivery Network (KDN) that functions as a caching layer for serving large language models, enhancing inference speeds by allowing the reuse of key-value (KV) caches during repeated or overlapping calculations. This system facilitates rapid prompt caching, enabling LLMs to "prefill" recurring text just once, subsequently reusing those saved KV caches in various positions across different serving instances. By implementing this method, the time required to generate the first token is minimized, GPU cycles are conserved, and throughput is improved, particularly in contexts like multi-round question answering and retrieval-augmented generation. Additionally, LMCache offers features such as KV cache offloading, which allows caches to be moved from GPU to CPU or disk, enables cache sharing among instances, and supports disaggregated prefill to optimize resource efficiency. It works seamlessly with inference engines like vLLM and TGI, and is designed to accommodate compressed storage formats, blending techniques for cache merging, and a variety of backend storage solutions. Overall, the architecture of LMCache is geared toward maximizing performance and efficiency in language model inference applications.

Description

Modern APIs can be constructed with all necessary features, including data serialization, validation, websockets, ORM integration, session management, and authentication, among others. Litestar prioritizes both developer experience and performance, boasting one of the fastest ASGI frameworks available while ensuring that the development process remains swift and efficient. It is primarily asynchronous, yet it accommodates synchronous execution without imposing any performance drawbacks, allowing synchronous applications to operate smoothly. Moreover, it provides interfaces for multiple key/value stores, which integrate effortlessly with your application and support third-party extensions. Response caching is easily implemented, requiring minimal configuration and overhead to enhance response times significantly. Additionally, it offers session and JWT-based authentication utilities, simplifying the process of establishing your authentication framework. This comprehensive approach makes it an ideal choice for developers looking to streamline their API development.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Python No 

Integrations

Python Yes 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

LMCache

Country

United States

Website

lmcache.ai/

Vendor Details

Company Name

Litestar

Website

litestar.dev/

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