vLLM

vLLM is an open-source library designed for efficient large language model (LLM) inference. It optimizes the serving of LLMs by employing techniques like PagedAttention, a novel attention algorithm, to manage memory effectively and reduce key-value cache waste.

This tool is primarily for developers and researchers working with LLMs who need to deploy and serve these models with high throughput and low latency. It is suitable for applications requiring fast and scalable inference, such as chatbots, content generation, and other AI-powered services.