you can have the best GPU cluster and the best models, but moving the actual data could become the actual bottleneck checkpoints, datasets, model weights... all that stuff needs to move between machines and environments @b1m_ai has a programmable data transfer network on Bittensor where independent orchestrators and workers compete to move data in parallel... if one transfer gets stuck, another worker can take over useful infrastructure for large AI workloads, multiple clouds, or agent workflows
