“These types of analyses provide the clues that can lead to breakthroughs in disease research, such as cancer research, and this kind of cloud-based infrastructure helps us remove some of the local computing barriers that can stand in the way,” said Chris Dwan, Acting Director of Information Technology at the Broad Institute. “Flexible processing power allows us to think on a much larger scale.”
“The porting process for CycleCloud was very easy to accomplish. We were even able to simplify some of our existing code, because Google features like per-minute billing mean that we don’t have to worry about optimizing usage for hourly charges,” said Rob Futrick, CTO for Cycle Computing.
“Preemptible VMs are a great new offering for big compute, analytics and batch workloads, and we’re happy to support them as an option for our customers. The Broad Institute’s story showcases a production workload running in 6 hours instead of 6 weeks, thanks to Preemptible VMs,” said Jason Stowe, CEO of Cycle Computing.