Cloudera Machine Learning enables you to add customized ML Runtimes from
the Runtime Catalog window.
Click Runtime Catalog from the
Navigation panel.
Click the Add Runtime button in the upper right
corner.
In the Add Runtime window, enter the url of the Runtime
Docker image you want to upload.
As ML Runtimes are identified based on certain attributes, metadata (such as
Editor, Kernel, Edition, Version, and Maintenance Version) must be unique to add new
Customized Runtimes to a deployment. Customized ML Runtimes must have different
Edition text compared to Cloudera supported versions.
Click Validate.
CML will use the provided URL to fetch the Docker image and validate if it can be
used as a customized Runtime.
If the Docker image is successfully validated, CML will display the metadata
information of the image. The new customized Runtime will be visible in the Runtime
Catalog and accessible over the different workloads.