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Version: 1.41

Deployment types

There are three types of Deployments: standard, external, and registration.

Standard Deployments

A model, along with an optional explainer and/or transformer, is deployed on Deeploy using one of the available deployment services (KServe, SageMaker, or Azure Machine Learning). Standard Deployments must be connected to a Repository and come with an endpoint, allowing communication with the model to retrieve predictions and explanations. All functionalities are available for Standard Deployments.

External Deployments

A model deployed on external infrastructure is accessed through an external endpoint. External Deployments can optionally be connected to a Repository. While an endpoint is available to retrieve predictions, some functionalities, specifically explanation requests and container logs, are not supported for external Deployments.

Registration Deployments

Serves as documentation for a model. Registration Deployments can optionally be connected to a Repository. Select functionalities are available for registration Deployments, including model and data cards, metadata, and compliance documentation.