# NVIDIA Container Toolkit [![GitHub license](https://img.shields.io/github/license/NVIDIA/nvidia-container-toolkit?style=flat-square)](https://raw.githubusercontent.com/NVIDIA/nvidia-container-toolkit/main/LICENSE) [![Documentation](https://img.shields.io/badge/documentation-wiki-blue.svg?style=flat-square)](https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/overview.html) [![Package repository](https://img.shields.io/badge/packages-repository-b956e8.svg?style=flat-square)](https://nvidia.github.io/libnvidia-container) ![nvidia-container-stack](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 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, and installation and usage guides can be found in the [documentation repository](https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/overview.html). ## Getting Started **Make sure you have installed the [NVIDIA driver](https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/install-guide.html#nvidia-drivers) 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#installation-guide). ## 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-container-toolkit/issues/new) * You can contribute by creating a [merge request](https://gitlab.com/nvidia/container-toolkit/container-toolkit/-/merge_requests/new) to our public GitLab repository