Distributed Data Parallelism (DDP, often abbreviated as DDp) represents a essential technique for scaling ML model training across many devices, like GPUs or machines. This approach involves replicating the entire https://ddp057718.blog5.net/96534443/ddp-the-guide-to-distributed-processing