Why Your PyTorch Model Is Slower Than You Think (Even on GPU)
Tested on: RTX 5060 · PyTorch 2.7 · CUDA 13.1 · Windows 11 You moved your model to GPU. You watched nvidia-smi climb toward 100%. You assumed you were done. You probably aren’t. GPU utilization is a coarse, 100ms-sampled metric. A GPU can report 80% utilization while spending most of that time idle between kernels, […]