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Tesla GPUs boost performance for Dell workstations

Written by IT News on 10:06 AM


NVIDIA announced today that its Tesla C1060 GPU computing processor is integrated into various Dell Precision workstations, including R5400, T5500 and T7500 models. This solution will enable companies to benefit from the services provided by CuDa-enabled NVIDIA's Tesla GPU architecture is specifically designed to perform the current super computers and professional workstations.

"Dell Precision R5400, T7500 and T5500, along with the Tesla GPU computing processing power of supercomputers to the desktop," said Greg Weir, Senior Manager, Dell Product Group. "We have seen the beginning of the praise for the efforts of both Dell and NVIDIA for a effective high-performance computing solution for the most demanding customers. "

NVIDIA's announcement is part of a campaign to promote the performance held by the company's line of Tesla GPUs, based on parallel architecture CuDa. The integration of NVDIA's Tesla GPUs in some of the latest workstations from Dell is accompanied by the latest edition of a number CuDa-based applications that take full advantage of the latest NVIDIA GPUs. With the help of CuDa and Tesla GPUs, these applications deliver faster to researchers and professionals to complete their tasks on time.

"National Instruments is developing systems for the European Extremely Large Telescope project, which on completion will be the world's largest. To address this computational challenge we developed a CuDa interface with LabVIEW to simulate and control the M1 mirror is from 984 individual segments," says Jeff Miesel, product manager for LabVIEW from National Instruments. "A Dell workstation equipped with a Tesla C1060 can achieve near real-time control of the mirror, simulation and controller, something that would not be possible without the computational density of GPUs."

The Tesla C1060 GPU is now available in Dell's R5400 rack workstation, and two tower workstation class T5500 and T7500 models.

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