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# NVIDIA Container Toolkit
[![GitHub license](https://img.shields.io/github/license/NVIDIA/nvidia-docker?style=flat-square)](https://raw.githubusercontent.com/NVIDIA/nvidia-docker/master/LICENSE)
[![Documentation](https://img.shields.io/badge/documentation-wiki-blue.svg?style=flat-square)](https://github.com/NVIDIA/nvidia-docker/wiki)
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![nvidia-gpu-docker](https://cloud.githubusercontent.com/assets/3028125/12213714/5b208976-b632-11e5-8406-38d379ec46aa.png)
## Introduction
The NVIDIA Container Toolkit allows users to build and run GPU accelerated Docker containers. The toolkit includes a container runtime [library](https://github.com/NVIDIA/libnvidia-container) and utilities to automatically configure containers to leverage NVIDIA GPUs.
Product documentation including an architecture overview, platform support, installation and usage guides can be found in the [documentation repository](https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/overview.html).
Frequently asked questions are available on the [wiki](https://github.com/NVIDIA/nvidia-docker/wiki).
## Getting Started
**Make sure you have installed the [NVIDIA driver](https://github.com/NVIDIA/nvidia-docker/wiki/Frequently-Asked-Questions#how-do-i-install-the-nvidia-driver) and Docker engine for your Linux distribution**
**Note that you do not need to install the CUDA Toolkit on the host system, but the NVIDIA driver needs to be installed**
For instructions on getting started with the NVIDIA Container Toolkit, refer to the [installation guide](https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/install-guide.html#docker).
## Usage
The [user guide](https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/user-guide.html) provides information on the configuration and command line options available when running GPU containers with Docker.
## Issues and Contributing
[Checkout the Contributing document!](CONTRIBUTING.md)
* Please let us know by [filing a new issue](https://github.com/NVIDIA/nvidia-docker/issues/new)
* You can contribute by opening a [pull request](https://help.github.com/articles/using-pull-requests/)