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Average Ratings 0 Ratings

Total
ease
features
design
support

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Description

Diskeeper®, the #1 utility to keep Windows servers and computers running faster than ever, is Diskeeper®. Diskeeper is trusted by millions and prevents fragmentation. It also caches hot reads from DRAM that is not being used. This allows for incredible performance! Everybody knows the frustration that Windows systems experience as they become slower and more complicated with the addition of software and data. Condusiv's Diskeeper includes DRAM caching to ensure that even the most difficult servers or computers are fixed quickly and efficiently. Diskeeper 18's patent engine, which is not "defragging", ensures large, clean contiguous write from Windows in real time so fragmentation is no more an issue for SSDs and HDDs. This eliminates the "death-by-a thousand cuts" scenario where small, tiny write and reads can impede SSD and HDD performance. Diskeeper 18 makes Windows system performance faster with dynamic memory caching. This allows you to use idle DRAM to provide hot reads.

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.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

No details available.

Integrations

No details available.

Pricing Details

$49.95/perpetual license
Free Trial
Free Version

Pricing Details

Free
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Condusiv Technologies

Founded

1981

Country

United States; United Kingdom

Website

www.condusiv.com/products/diskeeper/

Vendor Details

Company Name

LMCache

Country

United States

Website

lmcache.ai/

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