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 felt it was missing some hands-on perspective and real-world lessons from someone who has trained models in the wild. ...