Adding ML Runtimes using Runtime Repo files

Cloudera provided Runtime Repo files🔗

Self created Runtime Repo files🔗

You can create your own Runtime Repo files and register them in Cloudera AI. Cloudera AI checks these Runtime Repo files for changes every 24 hours and adds any new ML Runtimes found in these files automatically to the Runtime Catalog.

To create a Repo assembly file:

1. Create a JSON file with the same structure as the Cloudera provided one:

   {
       "assembly_metadata_version": 1,
       "runtimes": [
            { 
              "image_identifier": string,
               "runtime_metadata_version": int,
               "editor": string,
               "edition": string,
               "description": string,
               "kernel": string,
               "full_version": string,
               "short_version": string,
               "maintenance_version": int,
               "git_hash": string,
               "gbn": int
            } , 
       ]
   }

2. Fill in the details of one or more ML Runtimes. If you are adding Cloudera-created Runtimes, use the values from the Cloudera-provided Runtime Repo files. For Custom Runtimes, git_hash should be an empty string, and gbn should be set to zero. All other fields should be filled according to the information in Metadata for Custom ML Runtimes.
3. Host the JSON file on an URL that Cloudera AI is able to access.
4. Add the Runtime Repo file to Cloudera AI on the Site Administration > Runtime page.