Distributed training is here. You don't need a datacenter anymore – consumer GPUs, edge devices, and decentralized compute networks can now handle serious model training. The myth that only big tech with massive infrastructure can train AI is officially dead. Peer-to-peer training frameworks and federated learning architectures are making it possible to train models across thousands of scattered devices. Hardware requirements? Way lower than you think. This is how indie devs and small teams start competing with the giants.