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Personal SuperComputing With DELL: NVIDIA Tesla GPUs Now Shipping In DELL Workstations


NVIDIA Tesla GPU Computing Solutions Become Mainstream as Number of GPU Optimized Applications Soars

For further information, contact:

Andrew Humber
NVIDIA Corporation
(408) 416 7943


SANTA CLARA, CA —MAY 6, 2009— NVIDIA Corporation, inventor of the GPU, today announced that the Tesla™ C1060 GPU Computing processor, based on the massively parallel CUDA™ architecture, is now available in Dell Precision R5400, T5500 and T7500 workstations.

“The Dell Precision R5400, T7500 and T5500 together with the Tesla GPU computing processors is putting the power of supercomputing on the desktop,” said Greg Weir, senior manager, Dell Product Group. “We have seen early praise for the efforts of both Dell and NVIDIA to bring an economical high-performance computing solution to the most demanding customers.”

“National Instruments is developing the control system for the European Extremely Large Telescope project, which upon completion will be the world’s largest. To tackle this computational challenge, we developed a CUDA interface with LabVIEW to simulate and control the M1 mirror consisting of 984 individual segments,” said Jeff Meisel product manager for LabVIEW at National Instruments. “A Dell workstation equipped with a single Tesla C1060, can achieve near real-time control of the mirror simulation and controller, which before wouldn't be possible in a single machine without the computational density offered by GPUs.”

Another community sure to benefit from the mass market availability of this technology is the computational researcher. Based in the world’s leading research schools such as Harvard, Cambridge or Tokyo Institute of Technology, these researchers fight for time on a shared supercomputing resource that consumes hundreds of kilowatts of power and costs millions of dollars to build and maintain. Dell Precision Workstations enabled with Tesla GPUs give each of these researchers their own “personal supercomputer” - the equivalent computing power of a cluster, at 1/100th of the price.

CUDA applications actively in use today by these researchers and organizations include:

Oil and gas

  • Acceleware: Kirchoff Time Migration library
  • ffA: 3D Seismic processing software
  • Headwave: Prestack data processing
  • Mercury Computer systems: 3D data visualization
  • SeismicCity: 3D seismic imaging for prestack depth migration
  • SMT: Kingdom – Seismic Processing

Computational Chemistry and Molecular Dynamics:

  • GROMACS molecular dynamics
  • HOOMD molecular dynamics
  • NAMD molecular dynamics
  • VMD visualization of molecular dynamics

Bio-Informatics and Life Sciences:

  • GPU HMMER: CUDA version of HMMER
  • LISSOM: Human neocortex modeling
  • MUMmerGPU: High-throughput DNA sequencing

Financial Computing and Options Pricing:

  • Aqumin: 3D Visualization of market data
  • Exegy: Risk Analysis
  • Hanweck: options pricing
  • SciComp: derivatives pricing

Mathematical Computing

  • Jacket CUDA plugin for MATLAB from Accelereyes
  • LabVIEW from National Instruments


  • Tsunami simulation – Tokyo Institute of Technology
  • Weather Research and Forecast (WRF) model
  • Geographical Information Systems - Manifold

Medical Imaging, CT, MRI:

  • AxeRecon CT reconstruction library from Acceleware
  • SnapCT tomographic reconstruction software from Digisens

Electrodynamics and Electromagnetics

  • CST Microware Studio
  • FDTD solver from Acceleware

Electronic Design Automation

  • ADS SPICE simulator from Agilent EESof
  • OmegaSim GX SPICE simulator from Nascentric
  • Sentaraus TCAD from Synopsys


For more information on the Dell Precision Workstation line, visit For more information on NVIDIA Tesla products, visit and for more information on applications written for the CUDA architecture, visit

NVIDIA (Nasdaq: NVDA) is the world leader in visual computing technologies and the inventor of the GPU, a high-performance processor which generates breathtaking, interactive graphics on workstations, personal computers, game consoles, and mobile devices. NVIDIA serves the entertainment and consumer market with its GeForce® products, the professional design and visualization market with its Quadro® products, and the high-performance computing market with its Tesla™ products. NVIDIA is headquartered in Santa Clara, California, and has offices throughout Asia, Europe, and the Americas.

Certain statements in this press release including, but not limited to, statements as to: the benefits, features, impact, and capabilities of the Tesla GPU computing processor and CUDA architecture; are forward-looking statements that are subject to risks and uncertainties that could cause results to be materially different than expectations. Important factors that could cause actual results to differ materially include: development of more efficient or faster technology; adoption of the CPU for parallel processing; design, manufacturing or software defects; the impact of technological development and competition; changes in consumer preferences and demands; customer adoption of different standards or our competitor's products; changes in industry standards and interfaces; unexpected loss of performance of our products or technologies when integrated into systems; as well as other factors detailed from time to time in the reports NVIDIA files with the Securities and Exchange Commission including its Form 10-K for the fiscal period ended January 25, 2009. Copies of reports filed with the SEC are posted on our website and are available from NVIDIA without charge. These forward-looking statements are not guarantees of future performance and speak only as of the date hereof, and, except as required by law, NVIDIA disclaims any obligation to update these forward-looking statements to reflect future events or circumstances.

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