Distributed Data Parallel (DDP)
Performance
PyTorch mechanism for synchronous multi-GPU training
What is Distributed Data Parallel (DDP)?
Replicates model across GPUs and synchronizes gradients to keep models consistent.
Real-World Examples
- •PyTorch DDP training across nodes
Related Terms
Learn more about concepts related to Distributed Data Parallel (DDP)