Distributed Data Parallelism (Parallel Processing, often abbreviated as DDp) represents a powerful technique for scaling machine learning model training across several devices, like GPUs or machines. This approach https://ddp517267.newsyblog.com/641146/parallelism-manual-to-parallel-data-parallelism