# vLLM

> Run efficient language model inference with an OpenAI-compatible server

vLLM is an open-source inference and serving engine for large language models. It helps developers deploy supported models behind an OpenAI-compatible API, allowing existing applications to connect to infrastructure they operate themselves. Installation options include Python packages and Docker, with support for multiple accelerator and CPU platforms.

The engine uses PagedAttention to manage model memory and continuous batching to process incoming requests efficiently. Its scheduling focuses on keeping hardware busy while serving many users, making it useful for teams running chat applications and other services that generate text. Developers can start with the stable release and consult the documentation to choose compatible models, hardware, and deployment settings.

## Listing details

- Canonical BetaNeon page: https://betaneon.com/products/vllm
- Official website: https://vllm.ai/
- Category: Developer tools / ML engineering & evaluation
- Status: Launched
- Topics: API, Inference, LLM, Open source, Self hosted
- Listed: 2026-11-10T12:04:53.914Z
- Content updated: 2026-11-10T12:04:53.977Z
- Official source: https://vllm.ai/
This is a product introduction, not an endorsement. Confirm current availability, features, and prices on the official website. Community upvotes on BetaNeon are not star ratings.