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Description
Aura Object Store is a highly scalable and persistent platform designed for the storage of media content intended for CDN content origination. This replicated HTTP object store ensures that media content is kept securely over time and supports file ingestion through various protocols, catering to both linear and Video on Demand (VoD) applications. It is tailored for operators who are in search of a robust and resilient media storage solution that can enhance their CDN capabilities. Additionally, Aura Object Store is user-friendly, cost-effective, and adapts to the growing needs of businesses effectively. Serving as the foundational element of the CDN hierarchy, it efficiently handles cache misses from multiple downstream CDN caching tiers. Utilizing standard HTTP or HTTPS for content delivery, it features a scale-out architecture that promotes redundancy and allows for storage expansion, with multiple nodes interconnected to create a unified storage cluster under a single virtualized namespace. This innovative approach ensures seamless media management and delivery, making it an excellent choice for modern content distribution needs.
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
No
API Access
Has API
No
Integrations
SAP Store
No
Pricing Details
No price information available.
Free Trial
Yes
Free Version
No
Pricing Details
Free
Free Trial
No
Free Version
Yes
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
Yes
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
Yes
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
No
Vendor Details
Company Name
Akamai
Founded
1998
Country
United States
Website
www.akamai.com/us/en/products/network-operator/object-store.jsp
Vendor Details
Company Name
LMCache
Country
United States
Website
lmcache.ai/
