# Graphic Card Integration

Graphic cards handle images and videos much more efficiently than a traditional processor. While using Docker, some media services – such as [Plex](https://hub.subspace.services/books/media-servers/chapter/plex "Plex"), [Jellyfin](https://hub.subspace.services/books/media-servers/chapter/jellyfin "Jellyfin") or [Stash](https://hub.subspace.services/books/media-servers/chapter/stash "Stash") – will run much more efficiently if they have direct access to your graphics card.

This process is different depending on the manufacturer of your graphics card.


## AMD/ATI

You will need to install the ROCm software in order to use your graphics card within Docker. The process for [installing ROCm on Debian](https://rocm.docs.amd.com/projects/install-on-linux/en/latest/install/quick-start.html#rocm-install-quick) is detailed in their documentation.

Once installed, the graphics card can be attached to Docker containers.

## Intel

Integrated graphics, like those in modern Intel processors, are innately available to Docker containers by providing access.

## Nvidia

You will need to install the [Nvidia Container Toolkit](https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/latest/index.html) in order to use your graphics card with Docker containers.

<p class="callout warning">This requires that the [proprietary Nvidia drivers are installed](https://hub.subspace.services/books/software/page/graphics-card "Setting Up Your Graphics Card") and working correctly.</p>

The process for [installing the required software](https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/latest/install-guide.html) is detailed in their documentation. Once installed, the graphics card can be attached to Docker containers.