Also I doubt the linking of nvvm.so helps, since numba is now relying on the CUDA_HOME env var

The error you posted earlier suggests that they just dlopen("libnvvm.so", ...)

In reply to @ss:someonex.net

export LD_LIBRARY_PATH=${pkgs.cudatoolkit}/nvvm/lib64/libnvvm.so:$CUDA_HOME

I'm pretty sure gilbc treats LD_LIBRARY_PATH as a list of directories only (so you'd want LD_LIBRARY_PATH=${pkgs.cudatoolkit}/nvvm/lib64/ instead)

That was true yes, it seems it does find it now. However it claims:

No supported GPU compute capabilities found. Please check your cudatoolkit version matches your CUDA version

nvcc --version gives 12.2, and nvidia-smi gives 12.4. This should be compatible as far as I'm aware. I'll see if I can get more info on this, unless you know that this is not supposed to be compatible and I need to adjust one of the versions.

In reply to @jeroenvb3:matrix.org

That was true yes, it seems it does find it now. However it claims:

No supported GPU compute capabilities found. Please check your cudatoolkit version matches your CUDA version

nvcc --version gives 12.2, and nvidia-smi gives 12.4. This should be compatible as far as I'm aware. I'll see if I can get more info on this, unless you know that this is not supposed to be compatible and I need to adjust one of the versions.

In reply to @ss:someonex.net
Could you gist a reproducing code and a full log?

https://gitlab.com/jeroenvb3/cuda-setup

I added the nix config, the python code, the output, and my nvidia driver info. If you need more system info please tell but I'd think this is all that will be unique. Thanks!