Distribute the Image
This topic explains the different methods that can be used to distribute a custom ML Runtime to all the hosts.
Once you have built a new custom ML Runtime, use one of the following methods to distribute the new image to all your Cloudera Data Science Workbench hosts:
- Push the image to a public registry such as DockerHub
For instructions, refer to the Docker documentation docker push and Push images to Docker Cloud.
- Push the image to your company's Docker registry
When using this method, make sure to tag your image with the following schema:
docker tag <image-name> <company-registry>/<user-name>/<image-name>:<tag>
Once the image has been tagged properly, use the following command to push the image:
docker push <company-registry>/<user-name>/<image-name>:<tag>