Save VM cost when using Rest API deploying models for online inference

jhonw901227
Databricks Partner

ADB allows us to deploy the models for online inference through a REST API. To that aim ADB creates a VM dedicated to serve a specific model. Data Scientist can create and deploy several models for testing online inference, thus the cost can rapidly grow uncontroled and unnecessarily because those newly created VMs are running all the time.

It is possible to shut them down after certain period of inactivity?