Creating a Model Deployment

After you store a Data Science model in the model catalog, it can be deployed as an HTTP endpoint as model deployment.

Ensure that you have created the necessary policies, authentication, and authorization for model deployments.

Consider using a custom container when creating a model deployment.

You can create and run model deployments using the following networking options: