Distributed Training subnet enables decentralized training of large language models using the hivemind library for peer-to-peer gradient sharing and all-reduce operations. Miners contribute GPU resources to collaborative training runs, with model checkpoints stored on Cloudflare R2. The subnet supports multi-GPU configurations per miner with automatic updates and WandB integration for monitoring training progress.