Distributed Data Parallelism (Distributed Parallel Training, often abbreviated as DDp) represents a significant technique for scaling machine learning model training across multiple devices, like GPUs or machines. https://ddp848732.blog5.net/96531650/distributed-data-explanation-to-parallel-data-parallelism