Use the license server as a proxy for the Roboflow API.
## Prerequisites
* Linux server running Ubuntu 20.04+ or Debian 11+
* Internet access to api.roboflow\.com and repo.roboflow\.com
* Static IP address or hostname
* Port 80 available (or custom port)
* Docker Engine 20.10+
* 200GB+ storage
* 4GB+ memory
## Using the License Server
If you wish to firewall the Roboflow Inference Server from the Internet, you will need to use the Roboflow License Server which acts as a proxy for the Roboflow API and your models' weights.
On a machine with access to `https://api.roboflow.com` and `https://repo.roboflow.com` (and port `80` open to the Inference Server running in your private network), pull the License Server Docker container:
```
docker pull repo.roboflow.com/roboflow/license-server
```
And run it:
```
docker run -d --name license-server -p 80:80 --restart unless-stopped \
repo.roboflow.com/roboflow/license-server:latest
```
Configure your Inference Server to use this License Server by passing its IP in the `LICENSE_SERVER` environment variable:
```
sudo docker run --net=host --env LICENSE_SERVER=10.0.1.1 roboflow/inference-server:cpu
```
## Configuring via Device Manager
If you manage your devices through [Device Manager](/deploy/device-manager.md), you can set the License Server address directly in the Configuration tab for each device's inference service.
When you enter a License Server address, `API_BASE_URL` is automatically set to `https://api.roboflow.com`. This gives the License Server an upstream to proxy requests to, and prevents a misconfiguration where both `LICENSE_SERVER` and `API_BASE_URL` point to the same on-prem address (which would cause a recursive proxy loop).
Clearing the License Server field does not remove `API_BASE_URL`, so existing configurations are not disrupted.
---
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```
GET https://docs.roboflow.com/deploy/enterprise-deployment/license-server.md?ask=
```
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