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://ddp125630.blog5.net/96541693/parallelism-explanation-to-decentralized-training