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Simulation software firm Exa has a customer list that reads like a who's who of the automotive industry: Audi, BMW, DaimlerChrysler
and Ford, to name a few. The automakers rely on Exa for computer-aided design software that enables them to build the most
aerodynamic vehicles possible.
And Exa relies on IBM to provide the super-duper computing power that the carmakers need in fits and starts.
"The key that's turning us at this point is that with IBM we have almost unlimited capacity," says Steve Remondi, CEO at Exa, in Burlington, Mass. "We have IBM's balance sheet at work, as we like to say here, and that has made an enormous difference. Now there is no size problem, or set of computational work, that we can't do."
Exa is one of a growing number of companies expanding computing oomph with hosted, on-demand offerings. While Exa uses IBM's Deep Computing on Demand center, other companies opt for Big Blue's Linux virtual services on the mainframe or Sun's Sun Grid, for example. With these offerings, corporations get expansive computing power at their fingertips and pay only for what they use.
While the basic idea is nothing new - time-sharing was the way many companies harnessed computing power in the 1960s and 1970s - the prospect of being able to consume computing cycles on a grid or mainframe for specific, computationally intensive workloads is bringing more companies back around to the idea of renting instead of buying CPUs.
"What makes this interesting now is that businesses have a business reason to acquire resources in this manner," says Mike Kahn, managing director at The Clipper Group.
As an example, he cites pharmaceutical companies, which have huge surges in computing requirements at certain stages in their drug testing. These companies would likely find it makes better business sense to tap into the resources they need for peak demands, rather than spend the money to buy hardware that would sit idle much of the time, Kahn says.
At the same time, the ability to pay only for what you need and avoid upfront capital expenditures opens the door for smaller companies, such as Exa, to have computing power that makes them competitive with larger firms.
"What's cool about what IBM and Sun are doing is they're opening up technology that really was only available to a narrow subset of users," says Charles King, principal analyst at Pund-IT research.
Exa, which is one of the first customers to tap into IBM's Deep Computing on Demand center in Poughkeepsie, N.Y., certainly has seen a shift in its capabilities. Before Deep Computing on Demand, "some [computations] just were not done," Remondi says. "People said, 'Well, we have fixed-capacity machines. I can't get all these computational simulations done.' So they would just go without the information," he explains. "Now there are whole classes of vehicle programs that we are supporting with this center that we would not have been able to do any other way."
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Comments (4)
RE: Mainframe for rentBy Amarnadh on July 8, 2007, 11:43 amSearching for mainframes cpu time in rent.
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rent on CPUBy Anonymous on March 17, 2008, 5:46 pmThe $ 0.50 per CPU hour is very cheap. Ia m not sure it includes the cost using the simulations application. Example - I want to run a simulation using commercial...
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Mainframe for RentBy Sekhar on July 7, 2009, 11:41 amWe like to use your mainframe system for our training purpose. Please let us know the Mainframe technologies (software tools etc) that are available in your mainframe...
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Mainframe for rentBy Ravi Chavakula on July 9, 2009, 3:04 pmWe are looking for a mainframe system where we can practice all the mainframe related . Thanks
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