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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
The Oracle AI Data Platform integrates the entire data-to-insight workflow, incorporating artificial intelligence, machine learning, and generative features within its various data stores, analytics, applications, and infrastructure. It encompasses the full spectrum, from data collection and governance to feature engineering, model development, and deployment, allowing organizations to create reliable AI-driven solutions on a large scale. With its cohesive architecture, this platform provides intrinsic support for vector search, retrieval-augmented generation, and large language models, while facilitating secure and traceable access to business data and analytics for all enterprise roles. Users can delve into, visualize, and make sense of data using AI-enhanced tools in the analytics layer, where self-service dashboards, natural-language inquiries, and generative summaries significantly expedite the decision-making process. Additionally, the platform's capabilities empower teams to derive actionable insights swiftly and efficiently, fostering a data-driven culture within organizations.
API Access
Has API
API Access
Has API
Integrations
Apache Kafka
Apache Spark
ERA EHS Software
My DSO Manager
Oracle Analytics Cloud
Oracle Autonomous Database
Oracle Cloud Infrastructure
Oracle Fusion SCM Analytics
Oracle GoldenGate
Verdantis MDM Suite
Integrations
Apache Kafka
Apache Spark
ERA EHS Software
My DSO Manager
Oracle Analytics Cloud
Oracle Autonomous Database
Oracle Cloud Infrastructure
Oracle Fusion SCM Analytics
Oracle GoldenGate
Verdantis MDM Suite
Pricing Details
Free
Free Trial
Free Version
Pricing Details
No price information available.
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
LMCache
Country
United States
Website
lmcache.ai/
Vendor Details
Company Name
Oracle
Founded
1977
Country
United States
Website
www.oracle.com/ai-data-platform/