Distributed Training Basics — Roadmap Step & Resources
Data parallelism and model parallelism for training across multiple GPUs
- Level: advanced
- Estimated time: 2 days
- Roadmap: Deep Learning & Neural Networks
Before this step
Interview questions
- Data parallelism vs model parallelism — when do you need each?
Study resources
- Distributed Data Parallel (Article) — The official PyTorch tutorial on distributed training across multiple GPUs.
- Distributed Training Explained (Video) — A practical explanation of data parallelism and model parallelism for training at scale.
Part of
- MLOps for Deep Learning — section
- Deep Learning & Neural Networks roadmap — the full learning path