vllm/docs/source/index.rst

Welcome to vLLM!
================

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   <strong>Easy, fast, and cheap LLM serving for everyone
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vLLM is a fast and easy-to-use library for LLM inference and serving.

vLLM is fast with:

* State-of-the-art serving throughput
* Efficient management of attention key and value memory with **PagedAttention**
* Dynamic batching of incoming requests
* Optimized CUDA kernels

vLLM is flexible and easy to use with:

* Seamless integration with popular HuggingFace models
* High-throughput serving with various decoding algorithms, including *parallel sampling*, *beam search*, and more
* Tensor parallelism support for distributed inference
* Streaming outputs
* OpenAI-compatible API server

For more information, please refer to our `blog post <https://vllm.ai>`_.


Documentation
-------------

.. toctree::
   :maxdepth: 1
   :caption: Getting Started

   getting_started/installation
   getting_started/quickstart

.. toctree::
   :maxdepth: 1
   :caption: Models

   models/supported_models
   models/adding_model