vLLM, the efficient LLM serving library

vLLM, the efficient LLM serving library, is a software product that has been making waves in the tech industry. This library is known for its speed, flexibility, and ease of use, making it a go-to choice for LLM inference and serving. It supports a wide range of Hugging Face models, making it a versatile tool for various applications. The team behind vLLM is constantly working on updates and improvements, as evidenced by their regular meetups. The latest of these was the third vLLM Bay Area Meetup, where the team shared recent updates and their roadmap. They also invited collaborators from Roblox to discuss their experiences with deploying LLMs using vLLM. The team encourages contributions and provides clear instructions on how to get involved. They also request that users cite their paper on efficient memory management for LLM serving if they use vLLM for their research.