It’s all about the GPU DDL shares deep learning tasks among 64 servers running up to 256 processors in total, in a way that avoids synchronization bottlenecks. In existing systems, IBM said, fast GPUs ...

Distributed Deep Learning: The process of training complex neural networks across multiple computing nodes to leverage parallel processing and overcome individual hardware constraints.