"We've all heard 'desktop supercomputer' claims in the past, but this time it's for real", stated Burton Smith, Microsoft Technical Fellow. "NVIDIA and its partners will be delivering outstanding performance and broad applicability to the mainstream marketplace. Heterogeneous computing, where GPUs work in tandem with CPUs, is what makes such a breakthrough possible."

Priced like a conventional PC workstation, yet delivering 250 times the processing power, researchers now have the horsepower to perform complex, data-intensive computations right at their desk, processing more data faster and cutting time to discovery.

"GPUs have evolved to the point where many real world applications are easily implemented on them and run significantly faster than on multi-core systems", stated Prof. Jack Dongarra, director of the Innovative Computing Laboratory at the University of Tennessee and author of LINPACK. "Future computing architectures will be hybrid systems with parallel-core GPUs working in tandem with multi-core CPUs."

Leading institutions including MIT, the Max Planck Institute, University of Illinois at Urbana-Champaign, Cambridge University, and others are already advancing their research using GPU-based personal supercomputers.

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

At the core of the GPU-based Tesla Personal Supercomputer is the Tesla C1060 GPU Computing Processor which is based on the NVIDIA CUDA parallel computing architecture. CUDA enables developers and researchers to harness the massively parallel computational power of Tesla through industry standard C.

"Dell has led the workstation category for almost a decade and GPU computing represents a massive leap forward in performance that will bring supercomputer power to the masses", stated Antonio Julio, director, Dell Product Group. "The Dell Precision R5400 and T7400 will allow the scientific community to harness the capabilities of the NVIDIA Tesla C1060 GPU with up to two teraflops of computational power."