How the Zero Redundancy Optimizer Challenges Conventional Distributed Training Limits
The Launch of the Zero Redundancy Optimizer The launch of the Zero Redundancy Optimizer (ZeRO) in PyTorch marks a significant advancement in distributed training for large machine learning models. This development is crucial as the complexity of neural networks increases, necessitating more efficient memory management solutions. ZeRO addresses this need by sharding optimizer states across…