IBM says it has made a significant improvement in its deep learning techniques, by figuring out a way to divide the data among 64 servers running up to 256 processors. Up until now, companies have run deep learning on a single server, because of the difficulty of synchronizing data among servers and processors. With IBM’s new capability, deep learning tasks will benefit from big improvements in speed, enabling advances in many different tasks. Customers using IBM Power System servers will have access to the new technology. Continue reading IBM Divides Data Among Servers, Speeds Up Deep Learning