PyTorch 2.15 tackles the 'one bad GPU' problem

PyTorch 2.15 introduces new features designed to maintain training stability when a single GPU in a large cluster fails. By allowing distributed training jobs to continue despite hardware interruptions, the update reduces the need to restart long-running processes from scratch.