Install Driver

After installing AnduinOS, hopefully all devices are functioning properly. However, if you find that some devices are not working as expected, you may need to install additional drivers. This guide will show you how to install drivers on AnduinOS.

Automatic installation

To install drivers automatically, open the terminal and run the following command:

sudo apt update
sudo ubuntu-drivers install

This command will install the recommended drivers for your system. After the installation is complete, reboot your system.

Nvidia Graphics Driver

To install the Nvidia graphics driver, open the terminal and run the following command:

sudo ubuntu-drivers list --gpgpu

You will see a list of available drivers. To install the recommended driver, run the following command:

anduin@anduin-station-u:~$ sudo ubuntu-drivers list --gpgpu
nvidia-driver-418-server, (kernel modules provided by nvidia-dkms-418-server)
nvidia-driver-470-server, (kernel modules provided by linux-modules-nvidia-470-server-generic-hwe-22.04)
nvidia-driver-535, (kernel modules provided by linux-modules-nvidia-535-generic-hwe-22.04)
nvidia-driver-470, (kernel modules provided by linux-modules-nvidia-470-generic-hwe-22.04)
nvidia-driver-545, (kernel modules provided by nvidia-dkms-545)
nvidia-driver-535-server, (kernel modules provided by linux-modules-nvidia-535-server-generic-hwe-22.04)
nvidia-driver-390, (kernel modules provided by nvidia-dkms-390)
nvidia-driver-450-server, (kernel modules provided by nvidia-dkms-450-server)

For example, if you want to install the Nvidia driver 545, run the following command:

sudo apt install nvidia-driver-545

After the installation is complete, reboot your system.

Manually install the Nvidia driver

In case you couldn't install Canonical's Nvidia driver, you can download the driver from the Nvidia website and install it manually.

Search for the driver that matches your graphics card and download it. Then, run the following commands to install the driver:

sudo apt install gcc make build-essential
sudo systemctl isolate multi-user.target
sudo systemctl stop gdm
sudo chmod +x NVIDIA-Linux-x86_64-470.103.01.run
sudo ./NVIDIA-Linux-x86_64-470.103.01.run

For more information, please read the Nvidia driver installation guide.

Intel Graphics Driver

Intel usually will merge latest drivers and packages to the Linux kernel. However, some modules, like libva, vaapi, vulkan, and intel-media-driver, may need to be installed separately.

To install the Intel graphics driver, you need to follow the Intel Graphics Installer for Linux guide.

For example:

# Please refer to the official Intel Graphics Installer for Linux guide for the latest instructions
sudo apt-get update

# Add the intel-graphics PPA for 24.10
sudo add-apt-repository -y ppa:kobuk-team/intel-graphics

# Install the compute-related packages
sudo apt-get install -y libze-intel-gpu1 libze1 intel-ocloc intel-opencl-icd clinfo intel-gsc

# Install the media-related packages
sudo apt-get install -y intel-media-va-driver-non-free libmfx1 libmfx-gen1 libvpl2 libvpl-tools libva-glx2 va-driver-all vainfo

Intel NPU Driver

For some models of Intel CPU including MeteorLake, ArrowLake and LunarLake, you may notice that the Intel NPU is not working. To enable the Intel NPU, you need to install the Intel NPU driver.

Please download and install the driver following Intel NPU Driver Installation Guide.

After installing the driver, reboot your system, and you will see device: /dev/accel/accel0.

You need to set the render group for the device:

# set the render group for accel device
sudo chown root:render /dev/accel/accel0
sudo chmod g+rw /dev/accel/accel0
# add user to the render group
sudo usermod -a -G render $USER
# user needs to restart the session to use the new group (log out and log in)

You can use the NPU to run some AI models, like DeepSeek R1. For more details about how to use NPU to deploy AI models, please refer to the Blog.

Build the Kernel

In case you bought very latest hardware, you may need to build the kernel from source to get the latest drivers. Please refer to the Kernel Compilation guide for more information.