Manage your models on multiple clusters with a direct connection

Manage governance activities for your models on multiple clusters when your remote cluster is configured with a direct connection to the primary governance cluster.

Before you begin

Before you follow these steps for model lifecycle management and governance, ensure that you have a direct connection for your primary governance cluster and remote clusters. Contact your instance administrator to learn which type of connection is set up for your remote cluster.

Govern your models on clusters with a direct connection

Follow these steps to manage governance activities for your models:

  1. Log in to your primary governance cluster.

  2. Create or upload models on the primary governance cluster. Models that are not created on the primary governance cluster are not registered properly and can lead to data loss.

  3. Develop and evaluate the models the same as you would for models on stand-alone clusters.

  4. When the models are ready to deploy, move the models to the remote cluster:

    1. Export the models from the primary governance cluster.
    2. Import the models onto the remote cluster where you want to evaluate and deploy them.
  5. On the remote cluster, evaluate and deploy your model as you would for regular models. Governance activities will be logged and synced to the primary governance cluster.

    Tip: Only actions of evaluation, deployment, and deletion of a model will be synced to the primary governance cluster. If you create or import a model on the remote cluster, the model will not be logged and synced until you evaluate or deploy the model. After you evaluate or deploy a model, the model’s activity data will be logged.
  6. View the data such as the model’s development, evaluation, and deployment histories, in addition to details such as data size or attachments.

    1. On the primary governance cluster, open the model inventory for example by clicking AI uses cases > Lifecycle.
    2. Click on the model for which you want to view recorded activities.

You should be able to see the model’s development, evaluation, and deployment histories, in addition to details such as data size or attachments.

Parent topic: Managing governance activities across multiple clusters