Distributed Data Parallelism (Distributed Parallel Training, often abbreviated as DDp) represents a powerful technique for scaling deep learning model training across several devices, like GPUs or machines. This https://ddp072060.veronicablog.com/61907155/ddp-the-explanation-to-parallel-processing