Nvidia GPU Pass-through to Container in Docker VM

1.) Install driver in VM

2 Fehler bei Treiberinstallation beheben:

• blacklist nouveau Treiber

  # Datei erstellen
  nano /etc/modprobe.d/blacklist-nouveau.conf
  
  #Inhalt der Datei
  blacklist nouveau
  options nouveau modeset=0
  
  # Update initframs
  sudo update-initramfs -u
  
  # Neu starten
  reboot

• gcc-compiler installieren

  # Install dependencies
  sudo apt-get install build-essential gcc-multilib dkms

- Kompatible Treiber-Versionen mit Unlock-Patch installieren: https://github.com/keylase/nvidia-patch

#Directory erstellen
mkdir /opt/nvidia && cd /opt/nvidia

#Treiber download
wget https://international.download.nvidia.com/XFree86/Linux-x86_64/525.89.02/NVIDIA-Linux-x86_64-525.89.02.run

#Mount
chmod +x ./NVIDIA-Linux-x86_64-525.89.02.run

#Execute
./NVIDIA-Linux-x86_64-525.89.02.run

- 2 Fehler bei Treiberinstallation beheben, vergessen was.. irgendwas mit gcc-compiler installieren und ....

2.) Setting up NVIDIA Container Toolkit in VM

Setup the package repository and the GPG key:

$ distribution=$(. /etc/os-release;echo $ID$VERSION_ID) \
      && curl -fsSL https://nvidia.github.io/libnvidia-container/gpgkey | sudo gpg --dearmor -o /usr/share/keyrings/nvidia-container-toolkit-keyring.gpg \
      && curl -s -L https://nvidia.github.io/libnvidia-container/$distribution/libnvidia-container.list | \
            sed 's#deb https://#deb [signed-by=/usr/share/keyrings/nvidia-container-toolkit-keyring.gpg] https://#g' | \
            sudo tee /etc/apt/sources.list.d/nvidia-container-toolkit.list

Install  nvidia-container-toolkit package (and dependencies):

# Install the nvidia-container-toolkit package (and dependencies) after updating the package listing:
$ sudo apt-get update
$ sudo apt-get install -y nvidia-container-toolkit

# Configure the Docker daemon to recognize the NVIDIA Container Runtime:
$ sudo nvidia-ctk runtime configure --runtime=docker

# Restart the Docker daemon to complete the installation after setting the default runtime:
$ sudo systemctl restart docker

# At this point, a working setup can be tested by running a base CUDA container:
$ sudo docker run --rm --runtime=nvidia --gpus all nvidia/cuda:11.6.2-base-ubuntu20.04 nvidia-smi

docker-compose erweitern mit "runtime: nvidia" und "NVIDIA_VISIBLE_DEVICES=all":

version: "2.1"
services:
  jellyfin:
    image: lscr.io/linuxserver/jellyfin:latest
    container_name: jellyfin
    runtime: nvidia
    environment:
      - ....
      - NVIDIA_VISIBLE_DEVICES=all

.....

4.) (Optional) Blacklist GPU auf pve-Host: