14 DAY TRIAL // Santa Clara, California-based NVIDIA has announced today that its Tesla C1060 GPU computing processor has been integrated into several Dell Precision workstations, including the R5400, T5500 and T7500 models. This solution will enable professional users to take advantage of the performance levels delivered by NVIDIA's CUDA-enabled Tesla GPU architecture, specifically designed to boost the performance of today's supercomputers and professional 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.”
NVIDIA's announcement is part of a campaign to promote the performance computing capabilities of the company's line of Tesla GPUs, which is based on the parallel CUDA architecture. The integration of NVDIA's Tesla GPUs into some of the latest workstations from Dell is accompanied by the recent release of a number of CUDA-enabled applications that take full advantage of the latest NVIDIA GPUs. With the help of CUDA and Tesla GPUs, these applications deliver accelerated performance enabling researchers and professionals to finish their tasks in due time.
“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 single Dell workstation equipped with a single Tesla C1060, can achieve near real-time control of the mirror simulation and controller, something that would not be possible without the computational density offered by GPUs.”
The Tesla C1060 GPU is now available in Dell's R5400 rack workstation, as well as the two tower T5500 and T7500 workstation models.