openvino

<div align="center">
<img src="https://storage.openvinotoolkit.org/assets/branding/openvino-logo-transparent-white-outline.svg" width="400px" alt="OpenVINO">

<h3 align="center">
Open-source software toolkit for optimizing and deploying deep learning models.
</h3>

<p align="center">
 <a href="https://docs.openvino.ai/2026/index.html"><b>Documentation</b></a> • <a href="https://blog.openvino.ai"><b>Blog</b></a> • <a href="https://docs.openvino.ai/2026/about-openvino/key-features.html"><b>Key Features</b></a> • <a href="https://docs.openvino.ai/2026/get-started/learn-openvino.html"><b>Tutorials</b></a> • <a href="https://docs.openvino.ai/2026/about-openvino/openvino-ecosystem/openvino-integrations.html"><b>Integrations</b></a> • <a href="https://www.intel.com/content/www/us/en/developer/tools/openvino-toolkit/model-hub.html"><b>Benchmarks</b></a> • <a href="https://github.com/openvinotoolkit/openvino.genai"><b>Generative AI</b></a>
</p>

[![PyPI Status](https://badge.fury.io/py/openvino.svg)](https://badge.fury.io/py/openvino)
[![NPM](https://img.shields.io/npm/v/openvino-node)](https://www.npmjs.com/package/openvino-node)
[![Anaconda Status](https://anaconda.org/conda-forge/openvino/badges/version.svg)](https://anaconda.org/conda-forge/openvino)
[![brew Status](https://img.shields.io/homebrew/v/openvino)](https://formulae.brew.sh/formula/openvino)

[![PyPI Downloads](https://static.pepy.tech/badge/openvino)](https://pepy.tech/project/openvino)
[![Anaconda Downloads](https://anaconda.org/conda-forge/libopenvino/badges/downloads.svg)](https://anaconda.org/conda-forge/openvino/files)
[![brew Downloads](https://img.shields.io/homebrew/installs/dy/openvino)](https://formulae.brew.sh/formula/openvino)
 </div>


- **Inference Optimization**: Boost deep learning performance in computer vision, automatic speech recognition, generative AI, natural language processing with large and small language models, and many other common tasks.
- **Flexible Model Support**: Use models trained with popular frameworks such as PyTorch, TensorFlow, ONNX, Keras, PaddlePaddle, and JAX/Flax. Directly integrate models built with transformers and diffusers from the Hugging Face Hub using Optimum Intel. Convert and deploy models without original frameworks.
- **Broad Platform Compatibility**: Reduce resource demands and efficiently deploy on a range of platforms from edge to cloud. OpenVINO™ supports inference on CPU (x86, ARM), GPU (Intel integrated & discrete GPU) and AI accelerators (Intel NPU).
- **Community and Ecosystem**: Join an active community contributing to the enhancement of deep learning performance across various domains.

Check out the [OpenVINO Cheat Sheet](https://docs.openvino.ai/2026/_static/download/OpenVINO_Quick_Start_Guide.pdf) and [Key Features](https://docs.openvino.ai/2026/about-openvino/key-features.html) for a quick reference.


## Installation

[Get your preferred distribution of OpenVINO](https://docs.openvino.ai/2026/get-started/install-openvino.