Distributed Data Parallelism (Parallel Processing, often abbreviated as DDp) represents a powerful technique for scaling ML model training across several devices, like GPUs or machines. This approach involves https://ddp126558.blog-gold.com/785647/distributed-data-explanation-to-parallel-data-parallelism