EDGE OSDEFINITION
This is an open-source library that helps improve performance when inferencing large language models. This allows developers to utilize their GPUs more effectively, resulting in increased throughput when using LLMs. This is useful in situations where you need to process multiple AI requests.
The library includes a technology called Paged Attention that allows for more efficient management of the key-value (KV) cache. The library can be used with a range of popular open source language models. It also includes tools to help create scalable AI inference services.
Why should you use vLLM?
- Improved throughput when inferencing large language models.
- Improved GPU memory usage.
- Efficient management of simultaneous requests.
- Reduces infrastructure overhead when running AI models.
Use Cases
- Deploy open source large language models.
- Run enterprise AI chat bots.
- Create high throughput LLM inference APIs.
- Serve AI applications that can deal with multiple users simultaneously.
See it running on your own hardware
Vanik Edge OS runs AI models, agents and apps inside your building, so your data stays there.