Scaling PyTorch DDP: A Bare-Metal Guide to Local Multi-Node Distributed Training
As Machine Learning models swell into billions of parameters, the limits of single-GPU training become painfully clear. Moving beyond a single node navigating network boundaries, handling synchronisation handshakes, and scaling horizontally is what separates mid-level AI engineers from true infrastructure architects. But you don’t need a massive budget or