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Microsoft acquires cloud computing firm Cycle Computing to boost its cloud expertise

Written by : TNM Staff

To accelerate big computing in the Cloud, Microsoft has acquired Cycle Computing, a leader in cloud computing orchestration, for an undisclosed sum.

With this acquisition, Microsoft can now leverage its expertise in extending and migrating Linux and Windows based High Performance Computing (HPC) jobs to the Cloud.

"The Cloud is quickly changing the world of Big Compute, giving customers the on-demand power and infrastructure necessary to run massive workloads at scale without the overhead," the company said in a blog post recently. 

"The acquisition of Cycle Computing will help make it easier for Azure customers to use HPC and other Big Computing capabilities in the Cloud and help customers accelerate their movement to the Cloud," it added.

Customers are witnessing explosive growth on Azure in the areas of artificial intelligence, the Internet of Things and deep learning. 

"As customers continue to look for faster, more efficient ways to run their workloads, Cycle Computing's depth and expertise around massively scalable applications make them a great fit to join our Microsoft team," the post read. 

“We see amazing opportunities in joining forces with Microsoft. Its global cloud footprint and unique hybrid offering is built with enterprises in mind, and its Big Compute/HPC team has already delivered pivotal technologies such as InfiniBand and next generation GPUs. The Cycle team can’t wait to combine CycleCloud’s technology for managing Linux and Windows compute & data workloads, with Microsoft Azure’s Big Compute infrastructure roadmap and global market reach,” Jason Stowe, CEO of cycle Computing said in a blogpost.

Cycle Computing was started 12 years ago with an idea to fix the large up-front investments customers needed to access Big Compute. Over the years it has built products to help customers fight cancer and other diseases, design faster rockets, build better hard drives, create better solar panels, and manage risk for peoples’ retirements.

With IANS inputs

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