From b551d0f4f48989c16299d0f3d56579ba2edbe54e Mon Sep 17 00:00:00 2001 From: Evan Lezar Date: Wed, 22 Sep 2021 15:32:33 +0200 Subject: [PATCH] Apply edits for the NVIDIA container toolkit Signed-off-by: Evan Lezar --- README.md | 23 +++++++++++------------ 1 file changed, 11 insertions(+), 12 deletions(-) diff --git a/README.md b/README.md index 68f0734a..dfbdd2bb 100644 --- a/README.md +++ b/README.md @@ -1,32 +1,31 @@ # 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) -[![Package repository](https://img.shields.io/badge/packages-repository-b956e8.svg?style=flat-square)](https://nvidia.github.io/nvidia-docker) +[![GitHub license](https://img.shields.io/github/license/NVIDIA/nvidia-container-toolkit?style=flat-square)](https://raw.githubusercontent.com/NVIDIA/nvidia-container-toolkit/master/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-gpu-docker](https://cloud.githubusercontent.com/assets/3028125/12213714/5b208976-b632-11e5-8406-38d379ec46aa.png) +![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 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). +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. -Frequently asked questions are available on the [wiki](https://github.com/NVIDIA/nvidia-docker/wiki). +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://github.com/NVIDIA/nvidia-docker/wiki/Frequently-Asked-Questions#how-do-i-install-the-nvidia-driver) and Docker engine for your Linux distribution** +**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#docker). +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. +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/) \ No newline at end of file +* 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