Cant get cuda jl to see cuda in ubuntu

using CUDAdrv
using CuArrays

function check_cuda()
    if CUDAdrv.has_cuda()
        println("CUDA is available")
    else
        println("CUDA is not available")
    end
end

check_cuda()

Solution 1: Installing CUDA Toolkit

The first solution to the problem of not being able to see CUDA in Julia is to ensure that the CUDA Toolkit is properly installed on your Ubuntu system. The CUDA Toolkit is a software development kit provided by NVIDIA for programming GPUs using CUDA. To install the CUDA Toolkit, follow these steps:

1. Visit the NVIDIA CUDA Toolkit download page: https://developer.nvidia.com/cuda-toolkit
2. Choose the appropriate version of CUDA Toolkit for your Ubuntu system and download the installer.
3. Run the installer and follow the on-screen instructions to complete the installation.
4. After the installation is complete, restart your system to ensure that the changes take effect.

Once the CUDA Toolkit is installed, you can try running the Julia code again to see if CUDA is now recognized.

Solution 2: Setting CUDA Path

If installing the CUDA Toolkit did not solve the problem, you can try setting the CUDA path manually. Follow these steps:

1. Open a terminal and navigate to your home directory.
2. Edit the .bashrc file using a text editor (e.g., nano or vim).
3. Add the following lines to the end of the .bashrc file:

export PATH=/usr/local/cuda/bin:$PATH
export LD_LIBRARY_PATH=/usr/local/cuda/lib64:$LD_LIBRARY_PATH

4. Save the changes and exit the text editor.
5. Run the following command to apply the changes:

source ~/.bashrc

After setting the CUDA path, try running the Julia code again to see if CUDA is now recognized.

Solution 3: Reinstalling CUDA.jl Package

If the previous solutions did not work, you can try reinstalling the CUDA.jl package in Julia. Follow these steps:

1. Open Julia REPL or start Julia in the terminal.
2. Enter the following commands to remove the CUDA.jl package:

using Pkg
Pkg.rm("CUDA")

3. Enter the following command to reinstall the CUDA.jl package:

Pkg.add("CUDA")

After reinstalling the CUDA.jl package, try running the Julia code again to see if CUDA is now recognized.

Among the three options, the best solution depends on the specific cause of the problem. If CUDA is not installed or properly configured on your Ubuntu system, Solution 1 (Installing CUDA Toolkit) is the recommended approach. If the CUDA path is not set correctly, Solution 2 (Setting CUDA Path) should be tried. If the issue is related to the CUDA.jl package, Solution 3 (Reinstalling CUDA.jl Package) can be attempted. It is recommended to try the solutions in the given order.