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A driverRoot defines both the driver library root and the root for device nodes. In the case of preinstalled drivers or the driver container, these are equal, but in cases such as GKE they do not match. In this case, drivers are extracted to a folder and devices exist at the root /. The changes here add a devRoot option to the nvcdi API that allows the parent of /dev to be specified explicitly. Signed-off-by: Evan Lezar <elezar@nvidia.com> |
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build/container | ||
cmd | ||
docker | ||
internal | ||
packaging | ||
pkg | ||
scripts | ||
test | ||
third_party | ||
tools/container | ||
vendor | ||
.common-ci.yml | ||
.dockerignore | ||
.gitignore | ||
.gitlab-ci.yml | ||
.gitmodules | ||
.golangci.yml | ||
.nvidia-ci.yml | ||
CHANGELOG.md | ||
CONTRIBUTING.md | ||
DEVELOPMENT.md | ||
go.mod | ||
go.sum | ||
Jenkinsfile | ||
LICENSE | ||
Makefile | ||
README.md | ||
versions.mk |
NVIDIA Container Toolkit
Introduction
The NVIDIA Container Toolkit allows users to build and run GPU accelerated containers. The toolkit includes a container runtime library 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.
Getting Started
Make sure you have installed the NVIDIA driver 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.
Usage
The user guide provides information on the configuration and command line options available when running GPU containers with Docker.
Issues and Contributing
Checkout the Contributing document!
- Please let us know by filing a new issue
- You can contribute by creating a merge request to our public GitLab repository