Enterprises Can Now Run Workloads on Cray Supercomputers via Microsoft Azure
The integration will allow customers to run AI, advanced analytics, and simulation workloads at “unprecedented scale” on the cloud
Microsoft and Cray are enabling Azure customers to run certain workloads on Cray supercomputing hardware that’s installed in Microsoft datacenters. 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.
The deal aims to deliver more high-performance computing power to Azure customers, especially those that manage massive sets of data used for artificial-intelligence technology. The partnership essentially means Azure and Cray customers can keep all their data in one place, and harness the power of both systems at once.
“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,” said Peter Ungaro, president and CEO of Cray.
As part of the partnership agreement, the CrayXC and CrayCS supercomputers with attached Cray ClusterStor storage systems will be available for customer-specific provisioning in select Microsoft Azure datacenters, directly connected to the Microsoft Azure network. The Cray systems easily integrate with Azure Virtual Machines, Azure Data Lake storage, the Microsoft AI platform, and Azure Machine Learning services.