# 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](https://docs.roboflow.com/workflows/what-is-workflows) 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 %}

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### 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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# Agent Instructions: Querying This Documentation

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Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
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```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
