Cray expands deep learning to supercomputers and cluster systems

“The convergence of supercomputing and big data analytics is happening now, and the rise of deep learning algorithms is evidence of how customers are increasingly using high performance computing techniques to accelerate analytics applications,” said Steve Scott, senior vice president and chief technology officer at Cray. “Training problems look very much like classical supercomputing problems. We believe that with our Cray Programming Environment, validated toolkits, and the latest processing technologies, we have the right combination of hardware and software expertise to help our customers efficiently execute deep learning workloads now and in the future.” Cray has validated and made available several deep learning toolkits on Cray XC and Cray CS-Storm systems to simplify the transition to running deep learning workloads at scale. These toolkits include the Microsoft Cognitive Toolkit (previously…


Link to Full Article: Cray expands deep learning to supercomputers and cluster systems

Pin It on Pinterest

Share This