CycleCloud massively scaled up client resources to perform hundreds of thousands of computational tests in a matter of eight hours. Once the results were produced, the customer could just "turn off" those resources with no further charges. Additionally, the 10,000-core cluster was run on a cost of only $1,060/hour.
Leveraging CycleCloud and Cycle's HPC proficiency delivered these stats:
The end-user experience for using CycleCloud is:
"Running HPC applications in the Cloud is difficult. Sometimes special hardware is required - such as GPUs or Infiniband networks", stated John Barr, Research Director, The 451 Group. "While a large class of HPC applications can run effectively both on large, low cost, commodity clusters and in the Cloud. However, the idea of managing many thousands of jobs that collaborate to deliver insight is beyond many scientists who would prefer to focus on their area of specialization rather than becoming compute cluster or Cloud experts."
The CycleServer cluster management and analytics software was used to track utilization, diagnose performance and manage the progress of the scientific work flow. In total, 9.1 years of computing were completed in eight hours using server instances. The average cost of deploying a cluster of this size in-house is estimated in the millions of dollars, given the additional expense for hardware, software, networking, storage, personnel time and other factors.
"CycleCloud exemplifies the far-reaching capabilities of cloud computing to increase the speed of research using cost-effective compute power", stated Jason Stowe, founder and CEO Cycle Computing. "Our ability to spin up large clusters with no user effort provides an agile option for researchers in life science, financial, engineering, insurance and other industries. With this repeatable 10,000 core cluster under our belts, our team is already working on the next generation of secure, mega-elastic, and fully supported cloud clusters that are both timeframe and bottom-line friendly."