Adding a new customized ML Runtime through the Runtime Catalog

Cloudera AI 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.
If you want to use a non-default credential, select a docker credential in the Select Credentials dropdown list.

The Docker server name and the user name of the credential is displayed.
Click Validate.
Cloudera AI 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, Cloudera AI 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.

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