Dion Optimizer: Transforming Distributed AI Training Efficiency Optimizers such as Adam and AdamW have been essential to training large-scale neural networks. However, as model sizes soar into the trillions of parameters, the need for more efficient training metho... AI optimization deep learning distributed training large language models open source orthonormal updates PyTorch scalability
How Monarch and Lightning AI Are Transforming Distributed PyTorch Training in Notebooks Scaling AI experiments across massive GPU clusters is often a logistical challenge, especially for teams who want to maintain the interactive, iterative workflow of notebook development. The new integ... AI development debugging distributed training GPU clusters Lightning AI Monarch notebooks PyTorch