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Average Ratings 0 Ratings

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ease
features
design
support

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Description

Cachify enhances the speed of your page loads by transforming posts, pages, and custom post types into static content that can be cached. Users have the option to cache data through the database, the hard drive of the web server (HDD), or directly within the server's system cache utilizing APC (Alternative PHP Cache). By retrieving pages or posts from the cache upon loading, the number of database queries and PHP requests can significantly diminish, potentially nearing zero, based on the selected caching method. As a WordPress blog incorporates more dynamic widgets, templates, and plugins, it may experience a slowdown in performance. Increased visitor traffic results in greater database access, placing additional processing demands on the server for variable areas. Consequently, this heightened load can cause delays in the delivery of web pages. Designed specifically for small to medium-sized projects, Cachify serves as a smart and user-friendly caching plugin that temporarily holds page content in a static format, thus ensuring optimal performance. Its efficiency makes it an invaluable tool for maintaining a smoothly running website amidst growing demands.

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

PHP
WordPress

Integrations

PHP
WordPress

Pricing Details

Free
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

Cachify

Website

cachify.pluginkollektiv.org

Vendor Details

Company Name

LMCache

Country

United States

Website

lmcache.ai/

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