UberCloud Announces Technical Computing Marketplace and Appstore

June 23, 2014 – Two years ago the UberCloud started its free HPC Experiment which today has attracted more than 2,000 organizations and individuals from computational fluid dynamics, finite element material analysis, multi-physics, chemistry, life sciences, biology, finance, big data, and the HPC community.

Today, UberCloud announces the addition of its Marketplace and Appstore, where engineers and scientists can discover, try and buy the computing power and expertise they need for their computational and data-intensive tasks.

With the limits of desktop workstations often unable to provide enough computing power, computer simulations taking too long, and the number of jobs too small to get quality results, engineers and scientists are looking for additional computing power beyond their desktop workstations and in-house servers. Now, the UberCloud Marketplace provides access to a wide variety of computing providers, software vendors, independent experts, and enabling tools,  to simplify and ease the search for the most suitable service providers and expertise, out of hundreds that joined UberCloud in the last two years.

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Figure: UberCloud Marketplace provides a convenient, online shopping experience
for on demand and pay-per-use access to the hardware, software, and technical computing expertise.

Registered UberCloud users can either select an all-in-one packaged service (specific application software bundled with cloud hardware and paid by credit card) or complete a form to “Request a Quote from Resource Providers”, providing information about their application, software and licenses, network interconnect, main memory per node, number of parallel cores, total CPU usage, PHI/GPUs needed, storage, remote visualization, and instructions about timing, urgency,  and location of resources. During the order process UberCloud offers assistance through its LiveChat feature. Then, the UberCloud takes care of the rest: automatically searching for suitable resource providers; collecting up to three quotes and sending them to the end-user; then the end-user is free to contact any or all of them to discuss the details.

Team 118

Figure: UberCloud Team 118: Rolls-Royce jet engine contours of heat flux,
obtained with coupling an in-house FE code with ANSYS Fluent, and performed on CPU24/7 cloud resources.

So far, the UberCloud has built 152 international teams exploring the end-to-end process of accessing and using remote computing resources, as a service, on demand; among them Team 118 with the end-user Rolls-Royce Germany about heat transfer in jet engines. “The outsourcing of computational workload to an external cluster allows the end user to distribute computing power in an efficient way; especially when the in-house computing resources are already at their limit,” said one of the end-users. The 2014 Compendium of 17 case studies just appeared and can be downloaded from HPCwire here.

In addition, the UberCloud offers a services directory, case study discussion forums, technology and services webinars, a monthly newsletter, and other detailed information, to discover how to utilize HPC as a Service. And finally, for those who are ready to use HPC as a Service in production, the UberCloud now offers the public UberCloud Marketplace for engineers, scientists, and their service providers.