#distributed-training

#distributed-training

Meta's PyTorch team has unveiled Monarch, an open-source framework designed to simplify distributed AI workflows across multiple GPUs and machines. The system introduces a single-controller model that allows one script to coordinate computation across an entire cluster, reducing the complexity of large-scale training and reinforcement learning tasks without changing how developers write standard PyTorch code. Monarch replaces the traditional multi-controller approach, in which multiple copies of the same script run independently across machines, with a single-controller model.