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docker-steam-headless/docs/ubuntu-server.md
2025-06-23 04:30:05 +00:00

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# Ubuntu Server Setup
Use these instructions to install **Steam Headless** on an Ubuntu Server system.
> ⚠️ **Note**
>
> These steps assume you are running a minimal **Ubuntu Server** installation **without any desktop environment**.
> This setup **will not work** on Ubuntu Desktop.
---
## INSTALL NVIDIA DRIVER:
Although you're on a server system, using the `-server` variant of the NVIDIA driver can cause compatibility issues.
Instead, install the standard driver **without recommended extras**:
```bash
apt install --no-install-recommends nvidia-driver-570
```
> 🔍 Feel free to `570` with the latest available version.
To find the latest version of the standard (non-`-server`, non-`-open`) drivers, run:
```bash
apt-cache search ^nvidia-driver- | awk '{print $1}' | grep -vE '(-server|-open)' | xargs -n1 apt-cache policy | awk '/^nvidia-driver-/{driver=$1} /Candidate:/ {print driver, $2}'
```
---
## INSTALL DOCKER:
Install `docker-ce` on your Ubuntu server by following the [official Docker instructions](https://docs.docker.com/engine/install/ubuntu/).
Make sure you also install the `docker-compose-plugin` as noted in the Docker documentation.
---
## INSTALL NVIDIA CONTAINER TOOLKIT
To enable GPU support inside Docker containers, install the [NVIDIA Container Toolkit](https://github.com/NVIDIA/nvidia-container-toolkit?tab=readme-ov-file).
Follow the [APT-based installation steps](https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/latest/install-guide.html#installing-with-apt) provided in the official documentation.
Once installed, configure Docker to use the NVIDIA runtime by default:
```bash
sudo nvidia-ctk runtime configure --runtime=docker
```
> 💡 You *can* also run the container without the NVIDIA runtime by manually uncommenting the `/dev/nvidia*` device entries in the Compose file — but this approach is **not recommended**.
---
## CONFIGURE DOCKER COMPOSE:
After installing Docker, proceed to the [Compose Files](./docker-compose.md) section and select the appropriate configuration for your hardware setup.