RELEASE: Azure CycleCloud – the simplest way to execute HPC on Azure

Posted by: kurtsh | January 9, 2019

RELEASE: Azure CycleCloud – the simplest way to execute HPC on Azure

In August, we announced the general availability of Azure CycleCloud, a tool for creating, managing, operating, and optimizing HPC clusters of any scale in Azure born from Microsoft’s acquisition last August of Cycle Computing.

We are excited to announce the general availability of Azure CycleCloud, a tool for creating, managing, operating, and optimizing HPC clusters of any scale in Azure.

With Azure CycleCloud, we are making it even easier for everyone to deploy, use, and optimize HPC burst, hybrid, or cloud-only clusters. For users running traditional HPC clusters, using schedulers including SLURM, PBS Pro, Grid Engine, LSF, HPC Pack, or HTCondor, this will be the easiest way to get clusters up and running in the cloud, and manage the compute/data workflows, user access, and costs for their HPC workloads over time.

With a few clicks, HPC IT administrators can deploy high-performance clusters of compute, storage, filesystem, and application capability in Azure. Azure CycleCloud’s role-based policies and governance features make it easy for their organizations to deliver the hybrid compute power where needed while avoiding runaway costs. Users can rely on Azure CycleCloud to orchestrate their job and data workflows across these clusters.

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Azure CycleCloud is free to download and use to help get innovative HPC workloads like this one running on Azure, with easy management and cost control. If you have HPC and AI workloads that need to leverage Azure’s specialized compute capabilities to get answers back faster, try it for free today!