I am running Kubernetes on Docker Desktop with WSL2 and trying to set up GPU monitoring using the NVIDIA GPU Operator and NVIDIA Device Plugin.

What I Have Done:

GPU Confirmed Working in WSL2

• nvidia-smi works correctly and detects my NVIDIA RTX 4070 GPU.
  Running a CUDA container works fine:

• docker run --rm --gpus all nvidia/cuda:12.6.2-base-ubuntu22.04 nvidia-smi

• ✅ Shows correct CUDA version and GPU details.

Issue: GPU Not Detected in Kubernetes

• kubectl get nodes -o=jsonpath='{.items[*].status.allocatable}' does not show GPU.

• kubectl logs -n gpu-operator -l app=nvidia-device-plugin-daemonset shows NVML not found.

• NVIDIA GPU Operator and Device Plugin are running but not detecting GPU.

What I Have Tried:

Ensured nvidia-container-runtime is set correctly

• Edited /etc/docker/daemon.json

  {
    "default-runtime": "nvidia",
    "runtimes": {
      "nvidia": {
        "path": "/usr/bin/nvidia-container-runtime",
        "runtimeArgs": []
      }
    }
  }
  

What I Need Help With:

1. Why is Kubernetes not detecting the GPU ?

2. Why does nvidia-device-plugin fail with could not load NVML library?

3. Is there a special configuration needed for WSL2 to work with Kubernetes GPU Operator?

4. Are there any alternative debugging steps to confirm NVML is correctly installed?

System Information:

• OS: Ubuntu 24.04 LTS (WSL2)

• Kubernetes: Docker Desktop with WSL2

• NVIDIA Driver: 566.36

• CUDA Version: 12.7 (Confirmed in nvidia-smi)

• NVIDIA Container Toolkit: Installed (nvidia-container-toolkit latest version)

• NVIDIA GPU: RTX 4070 Laptop GPU

• Docker Runtime:

  docker info | grep -i runtime

  Output:

  Runtimes: io.containerd.runc.v2
nvidia runc Default Runtime: runc

Any Help is Appreciated!

If anyone has successfully set up NVIDIA GPU Operator in WSL2 with Kubernetes, please share insights!