RAreshmi aravindinpractical-ml-systems.hashnode.dev·Sep 3 · 7 min readYou don't need a GPU to test distributed PyTorchMost teams treat distributed PyTorch as something you can only validate on accelerator hardware. Two GPUs minimum, NCCL, a scheduler, and a queue to wait in. So distributed code paths get tested late,02A
