Behind the Scenes of Distributed Training and Why Your GPU Wiring Matters as Much as Your Strategy

Distributed training strategies are essential for handling models that are either too slow or too large for a single GPU. A common method, Distributed Data Parallel (DDP), solves the speed problem by giving each GPU a full model copy, but fails when the model is too large to fit in memory.