You plug in a shiny new RTX 5090, install PyTorch, run torch.cuda.is_available(), get True, and then your training script crashes with a cryptic CUDA error. The problem: PyTorch’s CUDA availability check only verifies that a CUDA driver exists. It says nothing about whether the installed PyTorch binary actually ships kernels for your GPU’s architecture.
Lee Penkman
Nerd/Geek, Crypto/Software/Games/VFX/ML, Multiple hat wearer
Image Processing/ML Engineer @ Canva