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Microsoft acquires Cycle Computing: deal details udisclosed

microsoft acquires cycle computing

Microsoft acquires Cycle Computing

Update: Here’s Microsoft’s statement, which seems to imply that Microsoft will continue to support current clients but will not put any new development work into support to its AWS and GCP platforms: “We will continue to encourage Cycle Computing customers using AWS or Google Cloud.  Microsoft models will be Azure focused.  We are devoted to providing clients a seamless migration experience to Azure if and when they choose to migrate.” Microsoft acquires Cycle Computing

Cycle Computing CEO Jason Stowe and co-founder Microsoft notes that the Cycle Computing tech will help it improve its service for Linux-based high-performance computing workloads.

Current Cycle Computing clients include the likes of Novartis, Pacific Life, MetLife and other major manufacturing, insurance, biotech and media companies.  Cycle Computing, which was bootstrapped and never raised a “real” funding round, says that its support will handle about a billion core-hours of compute this year also that it has grown 2.7x every 12 months.

microsoft acquires cycle computing

Writes that his company will continue to support its existing customers, though it’s uncertain if that means that Microsoft will also continue to develop support for platforms.  We will update this article once we hear more and have reached out to Microsoft for clarification.

“We’ve already seen explosive growth on Azure from the fields of artificial intelligence, the Internet of Things and deep learning,” Jason Zander, Microsoft’s corporate VP of Azure, writes in today’s announcement.  “As customers continue to search for faster, more efficient ways to run their workloads, Cycle Computing’s depth and expertise around massively scalable applications make them a excellent fit to join our Microsoft team.”

Microsoft now announced that it has obtained Cycle Computing, a twelve-year-old Connecticut-based company that concentrates on helping enterprises orchestrate high-performance computing tasks, big data workloads along with other “big computing” jobs in the cloud.

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