Deactivating and Activating a Model Deployment

Activate a deactivated Data Science model deployment or deactivate an active one.

Deactivating a model deployment has the following effects:

  • The instances associated with the model deployment shut down.

  • Metering and billing of the model deployment instances and load balancer stop.

  • The deployment HTTP endpoint becomes unavailable.

  • The model deployment metadata is saved.

A deactivated model deployment can be reactivated. The same model HTTP endpoint is available upon reactivation, and requests can be made to that model endpoint.

When a model deployment is in the Inactive state, you can change all of the options at one time and save the changes. The same isn't true when a model deployment is Active. See editing a model deployment.