DISTRIBUTED DATA GUIDE TO DECENTRALIZED DATA PARALLELISM

Distributed Data Parallelism (DDP, often abbreviated as DDp) represents a powerful technique for scaling machine learning model training across many devices, like GPUs or machines. This approach involves replicating the entire model onto each worker and then splitting the batch into smaller subse