The DGX-1 , the DGX Station , and the NVIDIA NGC Cloud Services uses Docker . Docker is one of the most popular container services available and is very commonly used by developers in the Artificial Intelligence (AI) space. There is a public Docker repository that holds pre-built Docker containers. These containers can be a simple base OS such as CentOS , or they may be a complete application such as TensorFlow.
These Docker containers for running the applications that they contain. You can use them as the basis for creating other containers, for example for extending a container. To enable portability in Docker images that leverage GPUs, NVIDIA developed the NVIDIA Container Runtime for Docker , also known as nvidia-docker.
How to Use:
1.Log-in the docker:
$ docker images (or) $ nvidia-docker images
issue the above command to list the images on the server.
2.Running a container:
$ nvidia-docker run -it —rm –net=”host” -v [folder path]:/workspace <container>:<xx:xx>
or
$ nvidia-docker run -it —rm –net=”host” -v [folder path]:/workspace<DOCKER IMAGE ID>
where,
–it means run the container in interactive mode,
–rm means delete the container when finished,
-v means to mount the directory
-<container> is the name of the container –
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