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Cray and Microsoft Bring Supercomputing to Microsoft Azure

By   /  October 24, 2017  /  No Comments

by Angela Guess

According to a new press release, “Global supercomputer leader Cray Inc. today announced an exclusive strategic alliance with Microsoft Corp. that gives enterprises the tools to enable a new era of discovery and insight, while broadening the availability of supercomputing to new markets and new customers. Under the partnership agreement, Microsoft and Cray will jointly engage with customers to offer dedicated Cray supercomputing systems in Microsoft Azure datacenters to enable customers to run AI, advanced analytics, and modeling and simulation workloads at unprecedented scale, seamlessly connected to the Azure cloud. Cray’s tightly coupled system architecture and Aries interconnect addresses the exponential demand for compute capability, real-time insights, and scalable performance needed by enterprises today. With this new partnership, Cray and Microsoft have made it easier for cloud customers to harness the power of supercomputing and multiply their problem-solving potential. Cray and Microsoft will also bring these advantages to a new set of customers who were previously unable to purchase or maintain an on-premise Cray system.”

The release continues, “The availability of Cray supercomputers in Azure empowers researchers, analysts, and scientists with the ability to train AI deep learning models in fields such as medical imaging and autonomous vehicles in a fraction of the time. Pharmaceutical and biotech scientists driving precision medicine discovery can now perform whole genome sequencing, shortening the time from computation to cure. Automotive and aerospace product engineers can now conduct crash simulation, computational fluid dynamic simulations, or build digital twins for rapid and precise product development and optimized maintenance. Geophysicists in energy companies can accelerate oil field analysis and reduce exploration risk through superior seismic imaging fidelity and faster reservoir characterization. All performed in days and minutes, not months and weeks.”

Read more at Nasdaq.

Photo credit: Cray

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