Installing on SUSE 15

The following steps can be used to setup the NVIDIA Container Toolkit on SUSE SLES 15 and OpenSUSE Leap 15.

Setting up Docker on SUSE 15

To install the latest Docker 19.03 CE release on SUSE 15 (OpenSUSE Leap or SLES), you can use the Virtualization::containers project.

First, set up the repository:

$ sudo zypper addrepo https://download.opensuse.org/repositories/Virtualization:containers/openSUSE_Leap_15.2/Virtualization:containers.repo \
   && sudo zypper refresh

Install the docker package:

$ sudo zypper install docker

Ensure the Docker service is running with the following command:

$ sudo systemctl --now enable docker

And finally, test your Docker installation by running the hello-world container:

$ sudo docker run --rm hello-world

Unable to find image 'hello-world:latest' locally
latest: Pulling from library/hello-world
0e03bdcc26d7: Pull complete
Digest: sha256:7f0a9f93b4aa3022c3a4c147a449bf11e0941a1fd0bf4a8e6c9408b2600777c5
Status: Downloaded newer image for hello-world:latest

Hello from Docker!
This message shows that your installation appears to be working correctly.

To generate this message, Docker took the following steps:
1. The Docker client contacted the Docker daemon.
2. The Docker daemon pulled the "hello-world" image from the Docker Hub.
   (amd64)
3. The Docker daemon created a new container from that image which runs the
   executable that produces the output you are currently reading.
4. The Docker daemon streamed that output to the Docker client, which sent it
   to your terminal.

To try something more ambitious, you can run an Ubuntu container with:
$ docker run -it ubuntu bash

Share images, automate workflows, and more with a free Docker ID:
https://hub.docker.com/

For more examples and ideas, visit:
https://docs.docker.com/get-started/

Setting up NVIDIA Container Toolkit

Note

You may have to set $distribution variable to opensuse-leap15.1 explicitly when adding the repositories

Install the nvidia-docker2 package (and dependencies) after updating the package listing:

$ sudo zypper refresh

$ sudo zypper install -y nvidia-docker2

Restart the Docker daemon to complete the installation after setting the default runtime:

$ sudo systemctl restart docker

At this point, a working setup can be tested by running a base CUDA container:

$ sudo docker run --rm --gpus all nvidia/cuda:11.6.2-base-ubuntu20.04 nvidia-smi

This should result in a console output shown below:

+-----------------------------------------------------------------------------+
| NVIDIA-SMI 450.51.06    Driver Version: 450.51.06    CUDA Version: 11.0     |
|-------------------------------+----------------------+----------------------+
| GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |
| Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |
|                               |                      |               MIG M. |
|===============================+======================+======================|
|   0  Tesla T4            On   | 00000000:00:1E.0 Off |                    0 |
| N/A   34C    P8     9W /  70W |      0MiB / 15109MiB |      0%      Default |
|                               |                      |                  N/A |
+-------------------------------+----------------------+----------------------+

+-----------------------------------------------------------------------------+
| Processes:                                                                  |
|  GPU   GI   CI        PID   Type   Process name                  GPU Memory |
|        ID   ID                                                   Usage      |
|=============================================================================|
|  No running processes found                                                 |
+-----------------------------------------------------------------------------+