Introduction to parallelism in PyTorch
Training large models inevitably requires a solid understanding of parallelism techniques. In this post, I’ll give a practical, in-depth overview of the most common approaches — DDP, FSDP, and TP — and how they’re actually used in real PyTorch training setups. This article was inspired by the excellent “How to Scale Your Model” blog series . While that series is clear and insightful, I…