Adding New ML Runtimes
Cloudera Data Science Workbench 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.
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.