# Models

> Models - Manage registered models containing deployment-ready model packages as versions.

This Markdown file sits beside the HTML page at the same path (with a `.md` suffix). It summarizes the topic and lists links for tools and LLM context.

Companion generated at `2026-05-06T18:17:10.043848+00:00` (UTC).

## Primary page

- [Models](https://docs.datarobot.com/en/docs/workbench/nxt-registry/nxt-model-directory/index.html): Full documentation for this topic (HTML).

## Related documentation

- [NextGen UI documentation](https://docs.datarobot.com/en/docs/workbench/index.html): Linked from this page.
- [Registry](https://docs.datarobot.com/en/docs/workbench/nxt-registry/index.html): Linked from this page.
- [compliance documentation](https://docs.datarobot.com/en/docs/workbench/nxt-registry/nxt-model-directory/nxt-compliance-doc.html): Linked from this page.
- [deploy the model to production](https://docs.datarobot.com/en/docs/workbench/nxt-registry/nxt-model-directory/nxt-deploy-models.html): Linked from this page.
- [Register a DataRobot model](https://docs.datarobot.com/en/docs/workbench/nxt-registry/nxt-model-directory/nxt-register-dr-models.html): Linked from this page.
- [Register an external model](https://docs.datarobot.com/en/docs/workbench/nxt-registry/nxt-model-directory/nxt-register-ext-models.html): Linked from this page.
- [Register a custom model](https://docs.datarobot.com/en/docs/workbench/nxt-registry/nxt-model-directory/nxt-register-cus-models.html): Linked from this page.
- [Create an inference endpoint for NVIDIA NIM](https://docs.datarobot.com/en/docs/workbench/nxt-registry/nxt-model-directory/nxt-import-nvidia-ngc.html): Linked from this page.
- [View and manage registered models](https://docs.datarobot.com/en/docs/workbench/nxt-registry/nxt-model-directory/nxt-view-manage-reg-models.html): Linked from this page.
- [View model insights](https://docs.datarobot.com/en/docs/workbench/nxt-registry/nxt-model-directory/nxt-model-insights.html): Linked from this page.
- [View and manage key values](https://docs.datarobot.com/en/docs/workbench/nxt-registry/nxt-model-directory/nxt-key-values.html): Linked from this page.
- [Access global models](https://docs.datarobot.com/en/docs/workbench/nxt-registry/nxt-model-directory/nxt-global-models.html): Linked from this page.
- [Import model packages into Registry](https://docs.datarobot.com/en/docs/workbench/nxt-registry/nxt-model-directory/nxt-registry-model-transfer.html): Linked from this page.

## Documentation content

On the Models tab in Registry, models are listed as registered models containing deployment-ready model packages as versions. Each package functions the same way, regardless of the origin of its model. From the Models tab, you can generate [compliance documentation](https://docs.datarobot.com/en/docs/workbench/nxt-registry/nxt-model-directory/nxt-compliance-doc.html) to provide evidence that the components of the model work as intended and the model is appropriate for its intended business purpose. You can also [deploy the model to production](https://docs.datarobot.com/en/docs/workbench/nxt-registry/nxt-model-directory/nxt-deploy-models.html).

| Topic | Description |
| --- | --- |
| Register a DataRobot model | Add a DataRobot model, from Classic or Workbench, to Registry. |
| Register an external model | Add an external model to Registry. |
| Register a custom model | Add a custom model from the workshop to Registry. |
| Create an inference endpoint for NVIDIA NIM | Premium feature. Register and deploy with NVIDIA NIM to create inference endpoints accessible through code or the DataRobot UI. |
| View and manage registered models | View and manage registered models and model versions. |
| Generate compliance documentation | Generate compliance documentation for a DataRobot model in Registry. |
| View model insights | View the Feature Impact insight to understand which features are driving model decisions, calculated using permutation importance or SHAP. |
| View and manage key values | View and manage key values for a registered model version in Registry. |
| Deploy a registered model | Deploy a registered model version from Registry. |
| Access global models | Access and deploy pre-trained global models for predictive or generative use cases. |
| Import model packages into Registry | Self-Managed AI Platform Import a model package (.mlpkg file) into Registry in standalone, self-managed MLOps environments. |