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Deep Learning Academy · Lesson

DistributedDataParallel Basics

The standard multi-GPU training path.

Meet DDP

DistributedDataParallel, or DDP, is PyTorch's go-to tool for multi-GPU training. It runs one process per GPU and keeps every model copy in sync.

One Process per GPU

Unlike the older DataParallel, DDP spawns a separate process for each GPU. This avoids Python's GIL and scales far more cleanly.

All lessons in this course

  1. Data vs Model Parallelism
  2. DistributedDataParallel Basics
  3. Sync Batch Norm & Sharded State
  4. Launch Jobs with torchrun
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