Cray announces deep learning toolkit

“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 Cray CTO Steve Scott. “Training problems look very much like classical supercomputing problems. We believe that with our programming environment, toolkits, and processing technologies, we have the right combination of hardware and software to help our customers execute deep learning workloads.” They are validated on Cray XC and CS-Storm systems, and include Microsoft Cognitive Toolkit (previously CNTK), TensorFlow, Nvidia Digits deep learning GPU training system), Caffe, Torch, and MXNet. CS-Storm system – which offers 850 GPU Tflop/s in a single rack – now supports the PCIe version of Nvidia’s Tesla P100 data centre accelerator (scroll down…

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