‘Personal Supercomputer` Design Based on Tesla GPU announced by Nvidia

Hardware maker Nvidia has announced a new computer that has the power of a cluster of computers without the high cost.

Nvidia, working with several partners, Dell, Lenovo, Asus, Western Scientific, and others, has developed the Tesla Personal Supercomputer, using the graphics processing unit based on Nvidia’s Cuda parallel computing architecture.

Burton Smith, a technical fellow at Microsoft stated while there have been claims of desktop supercomputers in the past, “this time it’s for real,”

Nvidia representiatives say computers using the Tesla C1060 Graphics Processing Units will have 250 times the processing power of a typical PC, enabling researchers to run complicated simulations, experiments and number crunching processes without the need for a supercomputing cluster.

The so-called "personal supercomputer" will incorporating anywhere from between two to four Tesla C1060 processors, which are made up of 240 stream processing cores.

A computers cluster can run a  100 times the cost of one of the Tesla-powered workstations. The Tesla C1060 card, available on computers Tuesday, will sell for $1,699, with desktop computer systems including the card selling for less than $9,995, said Andrew Humber, an Nvidia spokesman. The systems would run at a processing speed of four teraflops, or four trillion floating point operations per second.

"This represents phenomenal price/performance for computational researchers who have typically had to compete for time on expensive and power-hungry clusters," the Nvidia spokesperson said.

Several institutions, including the University of Illinois at Urbana-Champaign and Cambridge University,and the Max Planck Institute are already using GPU-based personal supercomputers.

“GPU based systems enable us to run life science codes in minutes rather than the hours it took earlier,” Jack Collins, manager of scientific computing and program development at SAIC-Frederick’s Advanced Biomedical Computing Center in Frederick, Maryland, said in a statement. "This exceptional speed of the Telsa has the ability to accelerate the discovery of potentially life-saving anti-cancer drugs.”

With most High Performance Computer (HPC) clusters and supercomputers are powered by conventional CPUs, Nvidia is betting that its general-purpose graphics processing units can offer the types of performance that scientists, researchers and other staff in the HPC market need now to run these types of large workloads.

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