Creating a Model Deployment

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