| .. | ||
| README.md | ||
Installing NVIDIA stuff on a new k3s node
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/stable/deb/nvidia-container-toolkit.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
sudo apt-get update
sudo apt-get install -y nvidia-container-toolkit nvidia-kernel-dkms
Installing k3s stuff
There is a deploy.sh in this folder.
It installs the RuntimeClass needed to target the nvidia runtime and installs the device plugin with GFD (node finder for GPUs) via helm.
Wrap up
With these two pieces installed, you should be able to find a GPU-bearing node.
kubectl get node -l 'nvidia.com/gpu.count'