Skip to content
No result to preview.

Click in-app to access the full platform documentation for your version of DataRobot.

MLOps > Deployment > Add deployments

Add deployments

In DataRobot, the way you deploy a model to production depends on the type of model you start with and the prediction environment where the model will be used. The following sections describe how to add deployments for different types of artifacts, including models built in DataRobot, custom inference models, and remote models.

Topic Describes...
Deploy a DataRobot model Deploying a DataRobot model from the Leaderboard or the Model Registry.
Deploy a custom inference model Deploying a custom inference model from the Custom Model Workshop.
Deploy an external model Deploying an external (remote) model from the Model Registry or by uploading training data and deploying from the deployment inventory.
Add deployment information How to complete a deployment by configuring inference options.
Add prediction data post-deployment Adding historical prediction data to an existing deployment.
Updated January 7, 2022
Back to top