Containerd failed to start after Nvidia Config

I've follow this official tutorial to allow a bare-metal k8s cluster to have GPU Access. However i received errors while doing so.

Kubernetes 1.21 containerd 1.4.11 and Ubuntu 20.04.3 LTS (GNU/Linux 5.4.0-91-generic x86_64).

Nvidia Driver is preinstalled on System OS with version 495 Headless

After pasting the following config inside /etc/containerd/config.toml and perform service restart, containerd would failed to start with exit 1.

Containerd Config.toml

systemd log here.

# persistent data location
root = "/var/lib/containerd"
# runtime state information
state = "/run/containerd"

# Kubernetes doesn't use containerd restart manager.
disabled_plugins = ["restart"]

# NVIDIA CONFIG START HERE

version = 2
[plugins]
  [plugins."io.containerd.grpc.v1.cri"]
    [plugins."io.containerd.grpc.v1.cri".containerd]
      default_runtime_name = "nvidia"

      [plugins."io.containerd.grpc.v1.cri".containerd.runtimes]
        [plugins."io.containerd.grpc.v1.cri".containerd.runtimes.nvidia]
          privileged_without_host_devices = false
          runtime_engine = ""
          runtime_root = ""
          runtime_type = "io.containerd.runc.v2"
          [plugins."io.containerd.grpc.v1.cri".containerd.runtimes.nvidia.options]
            BinaryName = "/usr/bin/nvidia-container-runtime"

# NVIDIA CONFIG ENDS HERE

[debug]
  level = ""

[grpc]
  max_recv_message_size = 16777216
  max_send_message_size = 16777216

[plugins.linux]
  shim = "/usr/bin/containerd-shim"
  runtime = "/usr/bin/runc"

I can confirm that Nvidia Driver does detect the GPU (Nvidia GTX 750Ti) by running nvidia-smi and got the following output

+-----------------------------------------------------------------------------+
| NVIDIA-SMI 495.44       Driver Version: 495.44       CUDA Version: 11.5     |
|-------------------------------+----------------------+----------------------+
| GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |
| Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |
|                               |                      |               MIG M. |
|===============================+======================+======================|
|   0  NVIDIA GeForce ...  Off  | 00000000:02:00.0 Off |                  N/A |
| 34%   34C    P8     1W /  38W |      0MiB /  2000MiB |      0%      Default |
|                               |                      |                  N/A |
+-------------------------------+----------------------+----------------------+

+-----------------------------------------------------------------------------+
| Processes:                                                                  |
|  GPU   GI   CI        PID   Type   Process name                  GPU Memory |
|        ID   ID                                                   Usage      |
|=============================================================================|
|  No running processes found                                                 |
+-----------------------------------------------------------------------------+

modified config.toml that got it to work.

As best I can tell, it's this:

Dec 02 03:15:36 k8s-node0 containerd[2179737]: containerd: invalid disabled plugin URI "restart" expect io.containerd.x.vx

Dec 02 03:15:36 k8s-node0 systemd[1]: containerd.service: Main process exited, code=exited, status=1/FAILURE

So if you know that the restart-ish plugin is in fact enabled, you'll need to track down its new URI syntax, but I'd actually recommend just commenting out that stanza, or going with disabled_plugins = [], since the containerd ansible role we use doesn't mention anything about "reboot" and does have the = [] flavor

Tangentially, you may want to restrict your journalctl invocation in the future to just look at the containerd.service, since it will throw out a lot of text that is a distraction: journalctl -u containerd.service and you can even restrict it to just the last few lines, which sometimes can help further: journalctl -u containerd.service --lines=250