Cray Supercomputers are coming to Azure

Cray Supercomputers are coming to Azure

Cray Supercomputers are coming to Azure

Cray has been around for decades and is known for the supercomputers it designed decades ago.

Cray will be furnishing Microsoft's cloud with supercomputing systems, allowing Azure customers to accelerate their high-performance computing (HPC) workloads, the two companies announced on October 23.

The partnership will enable new capabilities for businesses in the cloud, but it will also help broaden the reach of Cray's capabilities, the release said.

Microsoft and Cray are looking at offering dedicated Cray systems in Microsoft's data centres so that Cray users can easily access the rest of the Azure cloud services.

The company's supercomputers address the growing demand by large enterprises for high-performance compute capability, real-time insights and scalable performance. The two companies will offer the Cray XC and Cray CS supercomputers with its ClusterStor storage systems for dedicated customer provisioning in Azure datacenters and offered as Azure services.

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As well as this, automotive and aerospace product engineers are able to carry out crash simulation, computational fluid dynamic simulations and build digital twins.

Most customers don't require that much performance in their day-to-day computing needs, but Cray's supercomputers can be very important to companies working on pharmaceutical research or weather simulations, to name a few examples.

Meanwhile, geophysicists are able to accelerate they way they conduct oil field analysis and reduce exploration risk thanks to seismic imaging fidelity and faster reservoir characterization.

"Our partnership with Microsoft will introduce Cray supercomputers to a whole new class of customers that need the most advanced computing resources to expand their problem-solving capabilities, but want this new capability available to them in the cloud", Cray President and Chief Executive Peter Ungar said in a statement.

"Microsoft and Cray are working together to bring customers the right combination of extreme performance, scalability, and elasticity", Zander stated in a blog post. In terms of artificial intelligence (AI) workloads, the systems will also support Microsoft's AI platform and Azure Machine Learning, Zander assured.

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