---
title: DataRobot model in a DataRobot environment
description: How to deploy a DataRobot model in a DataRobot environment.

---

# Deploy a DataRobot model in a DataRobot environment {: #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:

``` mermaid
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 {: #deploy-a-model-from-the-leaderboard }

DataRobot AutoML automatically generates models and displays them on the Leaderboard. The [model recommended for deployment](model-rec-process) 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 <span style="vertical-align: sub">:material-arrow-right-circle:{.lg }</span>](deploy-model#deploy-from-the-leaderboard){ .md-button }

## Register 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
    This method allows you to [share a model package](reg-action) or [generate compliance documentation](reg-compliance) before deploying a model.

[Register a model <span style="vertical-align: sub">:material-arrow-right-circle:{.lg }</span>](dr-model-reg){ .md-button }

## Deploy a model from the Model Registry {: #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 <span style="vertical-align: sub">:material-arrow-right-circle:{.lg }</span>](deploy-model#deploy-from-the-model-registry){ .md-button }
