Silicon Mechanics Now Offers NVIDIA Tesla K20 GPU Accelerator

Designed for high throughput of both dual- and single-precision workloads

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“With more than one teraflop peak double-precision performance, this GPU Accelerator is ideal for the most aggressive high-performance computing workloads,” said Sumit Gupta, senior director of Tesla business at NVIDIA.

(PRWEB) November 12, 2012

Silicon Mechanics, Inc., a leading manufacturer of rackmount servers, storage, and high-performance computing hardware, announces that it now offers the new NVIDIA Tesla K20 GPU Computing Accelerator in its hybrid architecture server product line. The new ultra-efficient Kepler-based GPU is designed for high throughput of both dual- and single-precision workloads. It is ideal for climate and weather modeling, computational fluid dynamics, computer-aided engineering, computational physics, biochemistry simulations, and computational finance.

Developers and researchers can enjoy up to three times more performance per watt with the NVIDIA Kepler compute architecture, powered by CUDA, the world’s fastest and most efficient high-performance computing (HPC) architecture. With innovative computing technology and features, it is applicable to a broader range of scientific computing applications and makes hybrid computing more accessible for application developers and researchers.

With teraflops of single- and double-precision performance, NVIDIA Kepler GPU Computing Accelerators are companion processors designed for double-precision applications and the supercomputing market. The Tesla K20 delivers three times the double-precision performance compared to the previous generation Fermi-based Tesla M2090, in the same power envelope. The K20 GPU Accelerator features a single GK110 Kepler GPU that includes the innovative Dynamic Parallelism and Hyper-Q features, which boost performance and power efficiency, and deliver record application speeds.

“With more than one teraflop peak double-precision performance, this GPU Accelerator is ideal for the most aggressive high-performance computing workloads,” said Sumit Gupta, senior director of Tesla business at NVIDIA. “Since it is not limited to single-precision applications, it is also a well-rounded offering that can be used by more people for more tasks.”

With a Silicon Mechanics hybrid architecture server equipped with the NVIDIA Tesla K20 GPU Accelerator, GPU-CPU applications run significantly faster, as users can process large datasets with a massively multi-threaded computing architecture.

About Silicon Mechanics

Silicon Mechanics, Inc. is a leading manufacturer of rackmount servers, storage, and high-performance computing clusters, with one of the industry’s most comprehensive product offerings. Working collaboratively with customers to create best-fit solutions at competitive prices, we support our products with superior warranty offerings and a team of sales and service engineers dedicated to service and solutions excellence. Based in Bothell, WA, Silicon Mechanics is an Intel Premier Provider and a Premier member of the AMD Fusion Partner Program.

Additional information about Silicon Mechanics may be found online at http://www.siliconmechanics.com, or by contacting info(at)siliconmechanics(dot)com.


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  • Kristin Nugent
    McNeil, Gray & Rice
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