# DataRobot model in a DataRobot environment

> DataRobot model in a DataRobot environment - How to deploy a DataRobot model in a DataRobot
> environment.

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 `2026-04-24T16:03:56.561140+00:00` (UTC).

## Primary page

- [DataRobot model in a DataRobot environment](https://docs.datarobot.com/en/docs/classic-ui/mlops/deployment/deploy-workflows/dr-model-dr-env.html): Full documentation for this topic (HTML).

## Sections on this page

- [Deploy a model from the Leaderboard](https://docs.datarobot.com/en/docs/classic-ui/mlops/deployment/deploy-workflows/dr-model-dr-env.html#deploy-a-model-from-the-leaderboard): In-page section heading.
- [Register a model](https://docs.datarobot.com/en/docs/classic-ui/mlops/deployment/deploy-workflows/dr-model-dr-env.html#register-a-model): In-page section heading.
- [Deploy a model from the Model Registry](https://docs.datarobot.com/en/docs/classic-ui/mlops/deployment/deploy-workflows/dr-model-dr-env.html#deploy-a-model-from-the-model-registry): In-page section heading.

## Related documentation

- [Classic UI documentation](https://docs.datarobot.com/en/docs/classic-ui/index.html): Linked from this page.
- [MLOps](https://docs.datarobot.com/en/docs/classic-ui/mlops/index.html): Linked from this page.
- [Deployment](https://docs.datarobot.com/en/docs/classic-ui/mlops/deployment/index.html): Linked from this page.
- [Deployment workflows](https://docs.datarobot.com/en/docs/classic-ui/mlops/deployment/deploy-workflows/index.html): Linked from this page.
- [model recommended for deployment](https://docs.datarobot.com/en/docs/reference/pred-ai-ref/model-rec-process.html): Linked from this page.
- [Deploy from the Leaderboard](https://docs.datarobot.com/en/docs/classic-ui/mlops/deployment/deploy-methods/deploy-model.html#register-and-deploy-a-model): Linked from this page.
- [share a model package](https://docs.datarobot.com/en/docs/classic-ui/mlops/deployment/registry/reg-action.html): Linked from this page.
- [generate compliance documentation](https://docs.datarobot.com/en/docs/classic-ui/mlops/deployment/registry/reg-compliance.html): Linked from this page.
- [Register a model](https://docs.datarobot.com/en/docs/classic-ui/mlops/deployment/registry/dr-model-reg.html): Linked from this page.

## Documentation content

# Deploy a DataRobot model in a DataRobot environment

DataRobot AutoML models allow you to deploy to a DataRobot-managed prediction environment. This deployment method is the most direct route to making predictions and monitoring, managing, and governing your model in a centralized deployment hub.

To create and deploy an AutoML model on DataRobot, follow the workflow outlined below:

```
graph TB
  A{Deployment method?} --> |Leaderboard|B[Deploy a model from the Leaderboard];
  A --> |Model registry|C[Register a model]
  C --> D[Deploy a model from the Model Registry]
```

## Deploy a model from the Leaderboard

DataRobot AutoML automatically generates models and displays them on the Leaderboard. The [model recommended for deployment](https://docs.datarobot.com/en/docs/reference/pred-ai-ref/model-rec-process.html) appears at the top of the page. You can deploy this (or any other) model directly from the Leaderboard to start making and monitoring predictions. When you create a deployment from a model, DataRobot automatically creates a model package for the deployed model. You can access the model package at any time in the Model Registry.

[Deploy from the Leaderboard](https://docs.datarobot.com/en/docs/classic-ui/mlops/deployment/deploy-methods/deploy-model.html#register-and-deploy-a-model)

## Register a model

If you don't want to deploy immediately from the Leaderboard, you can add a model package to the Model Registry to deploy later.

> [!NOTE] Note
> This method allows you to [share a model package](https://docs.datarobot.com/en/docs/classic-ui/mlops/deployment/registry/reg-action.html) or [generate compliance documentation](https://docs.datarobot.com/en/docs/classic-ui/mlops/deployment/registry/reg-compliance.html) before deploying a model.

[Register a model](https://docs.datarobot.com/en/docs/classic-ui/mlops/deployment/registry/dr-model-reg.html)

## Deploy a model from the Model Registry

After you've added a model to the Model Registry, you can deploy it at any time to start making and monitoring predictions.

[Deploy from the Model Registry](https://docs.datarobot.com/en/docs/classic-ui/mlops/deployment/deploy-methods/deploy-model.html#deploy-a-registered-model)