Freaks City

Distributed training in PyTorch enables efficient scaling of deep learning models across multiple GPUs or nodes. This article explains four core parallelism paradigms—data, pipeline, tensor, and model parallelism—with concise conceptual breakdowns and rewritten, production-ready code examples that avoid redundancy while preserving correctness a ...