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://ddp978736.blog5.net/96535886/ddp-the-guide-to-decentralized-processing