# Deploy a model to a prediction environment

> Deploy a model to a prediction environment - Deploy a model directly to any prediction environment,
> DataRobot or external.

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 `2026-10-09T14:05:25.075709+00:00` (UTC).

## Primary page

- [Deploy a model to a prediction environment](https://docs.datarobot.com/en/docs/workbench/console/prediction-environments/pred-env-deploy.html.md): Full documentation for this topic (Markdown sidecar).

## Sections on this page

- [Next steps](https://docs.datarobot.com/en/docs/workbench/console/prediction-environments/pred-env-deploy.html.md#next-steps): In-page section heading.

## Related documentation

- [NextGen UI documentation](https://docs.datarobot.com/en/docs/workbench/index.html.md): Linked from this page.
- [Console](https://docs.datarobot.com/en/docs/workbench/console/index.html.md): Linked from this page.
- [Prediction environments](https://docs.datarobot.com/en/docs/workbench/console/prediction-environments/index.html.md): Linked from this page.
- [configure the deployment settings](https://docs.datarobot.com/en/docs/workbench/registry/model-directory/deploy-models.html.md#configure-deployment-settings): Linked from this page.
- [Manage prediction environments](https://docs.datarobot.com/en/docs/workbench/console/prediction-environments/pred-env-manage.html.md): Linked from this page.
- [Deployments dashboard](https://docs.datarobot.com/en/docs/workbench/console/overview/dashboard.html.md): Linked from this page.

## Documentation content

From the Prediction environments page, you can deploy a model directly to any prediction environment, DataRobot or external.

To deploy a model directly to a prediction environment:

1. On thePrediction environmentspage, click the environment you want to deploy a model to.
2. On theDetailstab, underUsages, in theDeploymentcolumn, click+ Add new deployment.
3. In theSelect model version from the registrydialog box, enter the name of the model you want to deploy in theSearchbox, click the model, and then click the specific model version.
4. ClickSelect model versionand thenconfigure the deployment settings.
5. ClickDeploy model.

> [!TIP] Alternate deployment methods
> If you don't want to deploy from the Prediction Environments page, you can deploy a model from Workbench or Registry.

## Next steps

After deploying a model to a prediction environment, manage the environment or the new deployment.

- Manage prediction environments : View, edit, delete, or share prediction environments from the Prediction environments page.
- Deploy registered models : Learn about deploying a registered model version directly from Registry instead.
- Deployments dashboard : Monitor the new deployment's health and performance alongside your other active deployments.