Editing Tutorials:Install the nVidia docker system (section)

== Making nvidia-docker the default runtime (optional) ==

You will note that you always had to select "--runtime=nvidia" for every docker command which runs a GPU container. This is fine in principle, but if you do it on a regular basis (or if you want to set up your own kubernetes minikube for testing), you might wish to make this the default.

For this, edit /etc/docker/daemon.json to look as follows (it will also configure a larger amount of memory, which is recommended for tensorflow):

<syntaxhighlight lang="json">
{
    "default-runtime": "nvidia",
    "default-shm-size": "1g",
    "runtimes": {
        "nvidia": {
            "path": "nvidia-container-runtime",
            "runtimeArgs": []
        }
    }
}
</syntaxhighlight>

After you did this, you need to restart your docker daemon for the changes to go into effect:

<syntaxhighlight lang="bash">
sudo systemctl restart docker
</syntaxhighlight>

Note that it remembers all running containers and will restart them once it is back up.

You are now ready for the next tutorial, which will show you how to use the nVidia GPU cloud images as a basis for your own applications.






[[Category:Tutorials]]