Cycle Computing Archives

Google Enters Budding On-Demand Supercomputing Business

By Debra Kaufman
September 11, 2015

Google is now offering Preemptible Virtual Machines (or VMs), a new class of computing resources that can be rented for a steep discount and shut down at any time. The only caveat is that customers must be willing to yield the computing resource on short notice. The solution is ideal for universities and companies that can’t or don’t want to buy their own expensive supercomputers. By offering this service, Google is entering an area dominated, up until now at least, by Amazon Web Services’ short-term use program, Spot Instances. Continue reading Google Enters Budding On-Demand Supercomputing Business

Amazon Elastic Cloud Tech: Stretching the Boundaries of Cloud Computing

By Dennis Kuba
September 22, 2011

Cycle Computing demonstrated the potential power of cloud computing by building a 30,000-core cluster running CentOS Linux for molecular modeling using Amazon’s Elastic Cloud 2 (EC2).
The cluster, created for an unnamed “Top 5 Pharma” customer, ran about seven hours at a peak cost of $1,279 per hour (including fees to Amazon and Cycle Computing) and performed approximately 10.9 “compute years of work.”
“Amazon EC2 and other cloud services are expanding the market for high-performance computing,” reports Ars Technica. “Without access to a national lab or a supercomputer in your own data center, cloud computing lets businesses spin up temporary clusters at will and stop paying for them as soon as the computing needs are met.”
The statistics are rather impressive; highlights include 30,472 cores, 26.7TB of RAM and 2PB (petabytes) of disk space. The cluster — dubbed “Nekomata” — ran across data centers in three Amazon regions in the United States and Europe.
It is unknown whether or not Nekomata is the largest cluster run on EC2 to date. “I can’t share specific customer details, but can tell you that we do have businesses of all sizes running large-scale, high-performance computing workloads on AWS [Amazon Web Services], including distributed clusters like the Cycle Computing 30,000 core cluster to tightly-coupled clusters often used for science and engineering applications such as computational fluid dynamics and molecular dynamics simulation,” indicated an Amazon spokesperson.