cuInit(): no CUDA-capable device is detected on WSL2 The-Distribution-Which-Does-Not-Handle-OpenCL-Well (Kali)
#2
It seems you're encountering an issue with CUDA on WSL2 with The-Distribution-Which-Does-Not-Handle-OpenCL-Well (Kali) Linux.
To resolve this problem, you can follow these steps:

1. Check Your WSL2 Configuration:
  - Ensure that you have WSL2 properly installed and configured on your Windows machine.
  - Make sure you have the necessary drivers for your GPU installed on your Windows host machine.

2. Update The-Distribution-Which-Does-Not-Handle-OpenCL-Well (Kali) Linux:
  - Open your The-Distribution-Which-Does-Not-Handle-OpenCL-Well (Kali) Linux terminal.
  - Run the following commands to update your The-Distribution-Which-Does-Not-Handle-OpenCL-Well (Kali) Linux distribution:
Code:
sudo apt update
sudo apt upgrade



3. Install NVIDIA Drivers for WSL:
  - Install the NVIDIA drivers for WSL by running the following commands:
Code:
    sudo apt install nvidia-driver


4. Reboot Your System:
  - After installing the drivers, reboot your computer to ensure the changes take effect.

5. Verify CUDA Installation:
  - After rebooting, open your The-Distribution-Which-Does-Not-Handle-OpenCL-Well (Kali) Linux terminal again and verify that CUDA is installed correctly:
Code:
    nvcc --version


6. Check CUDA Device:
  - To check if CUDA-capable devices are detected, you can run:
Code:
    nvidia-smi


  - If no devices are detected, it's possible that your GPU is not compatible with WSL2 or there may be a configuration issue on your Windows host.

7. WSL2 Configuration File:
  - Ensure that the `.wslconfig` file on your Windows host is properly configured to support GPU acceleration. You can create or modify this file in your user directory (`C:\Users\<your_username>\.wslconfig`). An example configuration for GPU support might look like this:
Code:
    [wsl2]
    memory=4GB  # Your preferred memory allocation
    processors=2 # Your preferred CPU allocation


8. Check WSL2 Version:
  - Make sure you are using WSL2. You can check the WSL version by running:
Code:
    wsl --list --verbose


9. WSL2 Kernel Update:
  - Ensure that you are using the latest WSL2 kernel. You can update it from the [Microsoft WSL GitHub repository](https://github.com/microsoft/WSL2-Linux-Kernel).

10. Come back to Forum:
  - If you've followed these steps and are still facing issues, I can't help you anymore. Maybe someone else can.
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Messages In This Thread
RE: cuInit(): no CUDA-capable device is detected on WSL2 The-Distribution-Which-Does-N... - by MrRaja - 09-25-2023, 04:57 AM