Cloud INSIDER

When it comes to moving tightly coupled high performance computing (HPC) workloads to the cloud, many organizations have been skeptical about its benefits. After all, messaging bottlenecks and scalability challenges have long overshadowed cost and flexibility related benefits of cloud deployments. Some challenges of moving HPC workloads to the cloud that have made organizations slow to migrate in the past have included:

• Slow, high-latency interconnects
• Long job queues
• High virtualization overhead and poor isolation from other workloads
• Data staging challenges and costs (getting large data sets into and out of the cloud)
• Moving from always-on, multi-user batch environments to on-demand cloud resources
• On-prem clusters becoming obsolete or poorly utilized

Press Release: Oakland, CA, June 22nd, 2017:

The dream of moving to the cloud typically involves several financial assumptions. These assumptions will vary based on the workloads that you are moving to the cloud but the story usually goes like this.

Admin: “Hey boss, we should move X & Y applications to the cloud.” 

Cloud is blowing up. Every organization, big and small, is looking at the cloud to increase agility, reduce IT spend and increase uptime. That’s all peachy, but why does adoption slow down after the first few months for many companies. Adoption typically follows an S-curve where initial adoption is quick and then it quickly falls off. The problem is: