FREE Big Compute in the Cloud Readiness Review

Discuss Your Project With An Expert




Do you have Big Compute, Big Data, High Performance Computing, GPU computing, or other large workload needs that you can’t meet? Cloud resources can help you meet that need, but you have to know how to get there. Being productive in the cloud is more than just renting some instances: your existing environment, your internal processes, and the organization’s goals all factor into making the cloud productive for you.

With the Cycle Computing Cloud Readiness Assessment, you will gain insight into key issues related to large computation in the cloud, including:

  • How to reduce queue time for your users
  • How to provide the right resources at the correct scale
  • Which of your workloads fit a cloud model
  • How to address security and compliance considerations
  • How to leverage a cloud-agnostic approach
  • How to create a quick proof of concept to demonstrate value

Customers like Pacific Life, Western Digital, Novartis, NASA, and many others have used CycleCloud™ to get maximum value from the cloud. Find out how our millions of core hours of computation and decade of cloud computing experience can work for you.

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The Leader In Cloud Orchestration For Big Compute

Cycle Computing is the leader in cloud computing orchestration software for Big Compute and Big Data. Our software makes large computation in the cloud productive at any scale, by orchestrating workflows, managing data, and enabling users in a secure, controlled way. By using Cycle Computing software and cloud resources, our users get to leverage zero queue times, unlimited amounts of a wide variety of architectures, and the ability to directly fit jobs to budget/value instead of available capacity.

For years, customers in Life Sciences, Manufacturing, Financial Services, and other Analysis, Engineering and Research areas have used Cycle Computing’s CycleCloud high performance cloud computing software to manage some of the world’s largest production cloud deployments. The ever increasing demand for support of compute and data intensive workloads, machine learning, genomics, analytics, and simulation is causing many organizations to struggle to meet the needs of their users. We solve that problem.