Distributed Data Parallelism (Distributed Parallel Training, often abbreviated as DDp) represents a significant technique for scaling machine learning model training across many devices, like GPUs or machines. This https://ddp030754.blogdigy.com/ddp-the-explanation-to-distributed-data-parallelism-69803913