Deep Learning

Cray launches two new CS-Storm accelerated cluster supercomputers

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Cray has launched two new CS-Storm accelerated cluster supercomputers – the Cray CS-Storm 500GT and the Cray CS-Storm 500NX – which are designed to serve the purpose of the most demanding AI workloads.

The supercomputers, which also utilise NVIDIA Tesla GPU accelerators, aim to provide customers with powerful accelerator-optimised solutions for running machine learning and deep learning applications.

The Cray CS-Storm 500GT includes support for up to ten NVIDIA Tesla P40 or P100 PCIe accelerators leveraging balanced or single-root configurations for CPU-to-GPU communications. The CS-Storm 500NX includes support for eight Tesla P100 SXM2 accelerators, utilising the NVIDIA NVLink high speed interconnect for GPU-to-GPU communications.

The Cray CS-Storm systems provide up to 187 TOPS (tera operations per second) per node, 2,618 TOPS per rack for machine learning application performance, and up to 658 double precision TFLOPS per rack for HPC application performance. Delivered as a fully integrated cluster supercomputer, the Cray CS-Storm systems include the Cray Programming Environment, Cray Sonexion scale out storage, and full cluster systems management.

In addition, Cray recently announced its first quarter 2017 financial results wherein it reported revenues of $59 million, compared to $105.5 million in the first quarter of 2016. Net loss for the first quarter of 2017 was $19.2 million, compared to a net loss of $5 million. The company’s operating expenses for the first quarter of 2017 were $56.1 million, compared to $49.2 million for the first quarter of 2016.

For 2017, while a wide range of results remains possible, Cray expects revenue to be in the range of $400-$450 million for the year. Revenue in the second quarter of 2017 is expected to be approximately $60 million.

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