Unable to Use NVIDIA Quadro M2000M as GPU with CUDA 12.5 and PyTorch 2.3.1+cpu on Windows 10 x64
Question:
I’m experiencing difficulty using my NVIDIA Quadro M2000M as a GPU for PyTorch on Windows 10 64-bit. I have installed CUDA 12.5, and when I check the CUDA version using the command nvcc –version, I get the following output:
Why use MPS, Time Slicing or MIG if Nvidia’s defaults have better performance?
I’m trying to wrap my head around the implications of Nvidia’s GPU sharing strategies: