> For the complete documentation index, see [llms.txt](https://docs.roboflow.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.roboflow.com/deploy/device-manager.md).

# Deployment Manager

Roboflow Deployment Manager lets you easily set up, deploy, and manage computer vision models on edge devices. After training your model and building a workflow, it provides an all-in-one solution for scaling deployments.

You can use Deployment Manager to:

1. Set up new devices with the [Roboflow Inference server](https://inference.roboflow.com/).
2. Configure camera streams for use in a deployment.
3. Deploy [Workflows](/workflows/what-is-workflows.md) on the edge.
4. Monitor logs, stream status, and telemetry for deployed edge devices.

{% hint style="warning" %}
Deployment Manager is available exclusively for Enterprise customers. [Contact the Roboflow sales team](https://roboflow.com/sales) to learn more about this feature and how it can be used to manage your deployments at scale.
{% endhint %}

<figure><img src="/files/8LRM1tSu3zk8zwWYbbvP" alt=""><figcaption></figcaption></figure>

### Key Requirements:

Deployment Manager is built for Roboflow-supported hardware:

* Supported: Hardware purchased via Roboflow
* Unsupported (use at your own risk): NVIDIA Jetson, x86 machines running Debian-based Linux with NVIDIA GPUs
* Not yet supported: Mac or Windows-based systems

Devices must be connected to the internet for setup and ongoing operation, with continuous access to Roboflow for remote management and monitoring.


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