NEW YORK, N.Y., Dec. 4 — Cycle Computing, the leader in Cloud cluster computing and Utility HPC (high performance computing), announced today the addition of three executives, Gavan Corr as chief strategy officer, Robert Petrocchi as vice president of worldwide sales, and Brad Rutledge as vice president of marketing. This team will further help educate enterprises about the benefits and advantages of Utility HPC, grow the Cloud HPC ecosystem, and implement leading technology and processes to quickly and easily onboard Cycle Computing customers.
“The growing demand for Cloud cluster computing and Utility HPC is fantastic, and Cycle Computing’s customer demand, pipeline, and business/technology opportunities continue to grow. We’ve added these experienced executives to raise awareness of customer successes using Utility HPC, broaden the solution ecosystem, and meet customer demand for easy implementation,” said Jason Stowe, founder and CEO of Cycle Computing. “Moving forward, you can expect to see rapid advancements in our strategic partnering, business development, market visibility, customer on-boarding, and overall company growth. The progress is very exciting – it’s a great time to be working with Cycle Computing as a partner or customer.”
This announcement comes on the heels of Cycle Computing’s recording-breaking news from November in which the company, along with AWS (Amazon Web Services), and Schrödinger Materials Science Group, created a 156,000+ core Cloud computing run, dubbed the MegaRun — the largest and fastest Cloud computing run in history. Corr joined Cycle Computing this summer, while Petrocchi and Rutledge officially joined the company this fall, after serving as consultants.
Gavan Corr, Cycle Computing Chief Strategy Officer
With a strong background in trading and financial services, and a history in implementing leading-edge technology with New York Stock Exchange Technologies, and Gemstone high-performance data cache, Corr is focused on building out a broader Cloud ecosystem for Utility HPC. These partners will help provide customers with engineering, scientific, and quantitative finance solutions that run reliably in the Cloud.
Robert Petrocchi, Cycle Computing Vice President of Worldwide Sales
Coming off a successful venture at Pivitol/VMware running the company’s Cloud Application Platform Division, Petrocchi is developing a sales organization to help customers quickly and easily benefit from Cycle Computing’s leading, patent-pending technology for Utility HPC. His focus on systemizing on-boarding, and long-term operations of accessible Cloud HPC will help customers and solution partners achieve tangible business benefits and agility, quickly, for small and large organizations alike.
Brad Rutledge, Cycle Computing Vice President of Marketing
After nearly eight years serving as a strategic consultant to several companies in the technical and HPC industries such as Dell, Altair, and IDC, Rutledge joins Cycle Computing to educate enterprises of the benefits of Cloud cluster computing and Utility HPC through Cycle Computing’s numerous successful customer use cases. As a customer advocate, Rutledge’s efforts will focus on the customer experience, raising awareness of the revolution in greater access to HPC through the Cloud, and ensuring future products meet customer needs.
About Cycle Computing
Cycle Computing is the leader in Cloud cluster computing and Utility HPC (high performance computing) software, which enables greater access to computing over the Cloud. Cycle Computing software CycleServer, CycleCloud, and DataManager, represent the enabling force that helps users easily connect to greater computing power using public and private Clouds. The company believes that utility access to HPC will lead to a new era in accelerated invention and discovery. Since 2005, starting with three initial Fortune 100 clients, Cycle Computing has grown to deploy proven implementations at Fortune 500s, SMBs and government and academic institutions including JP Morgan Chase, Purdue University, Pfizer and Lockheed Martin.
—–
Source: Cycle Computing