Distributed Data Parallelism (Distributed Parallel Training, often abbreviated as DDp) represents a powerful technique for scaling machine learning model training across many devices, like GPUs or machines. This https://ddp415427.blogdigy.com/distributed-data-guide-to-parallel-data-parallelism-69800958