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https://github.com/NVIDIA/nvidia-container-toolkit
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32 lines
2.2 KiB
Markdown
32 lines
2.2 KiB
Markdown
# NVIDIA Container Toolkit
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[](https://raw.githubusercontent.com/NVIDIA/nvidia-docker/master/LICENSE)
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[](https://github.com/NVIDIA/nvidia-docker/wiki)
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[](https://nvidia.github.io/nvidia-docker)
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## Introduction
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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.
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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).
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Frequently asked questions are available on the [wiki](https://github.com/NVIDIA/nvidia-docker/wiki).
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## Getting Started
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**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**
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**Note that you do not need to install the CUDA Toolkit on the host system, but the NVIDIA driver needs to be installed**
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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).
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## Usage
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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.
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## Issues and Contributing
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[Checkout the Contributing document!](CONTRIBUTING.md)
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* Please let us know by [filing a new issue](https://github.com/NVIDIA/nvidia-docker/issues/new)
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* You can contribute by opening a [pull request](https://help.github.com/articles/using-pull-requests/) |