https://github.com/NVIDIA/k8s-device-plugin/issues/1182
And I opened a PR for fixing that here:
https://github.com/NVIDIA/k8s-device-plugin/pull/1183
I am unsure if this bug is only for the NixOS environment because its library paths and other quicks differ from those of major Linux distros.
Another major problem was that the "default_runtime_name" in the Containerd config didn't work as expected. I had to create a RuntimeClass and assign it to the pod to make it pick up the Nvidia runtime.
Other than that, I haven't tried K3S, the one I am running is a full-blown K8S cluster. I guess they should be similar.
While there's no guarantee, if you find any hints showing why your Nvidia plugin won't work here, I might be able to help, as I skip some minor issues I encountered in the articles. If it happens to be the ones I faced, I can share how I solved them.
https://gist.github.com/fangpenlin/1cc6e80b4a03f07b79412366b...
But later on, since I am taking the CDI route, it appears that the libnvidia-container (nvidia-container-cli) is not really used. If you are going with just container runtime approach instead of CDI, you may need a patch like this for the libnvidia-container package.
For now I’m just using Docker’s Nvidia container runtime for containers that need GPU acceleration.
Will likely spend more time digging into your findings — hoping it results in me finding a solution to my setup!
[0] https://github.com/NixOS/nixpkgs/blob/master/pkgs/applicatio...