Microway to Show Updated Tesla and Quadro “Kepler” GPU Systems at GTC 2013


Last Updated: March 15, 2013 9:07 pm GMT
(Kingston, MA--March 15, 2013) Microway will showcase its updated WhisperStation-Maximus, Certified for NVIDIA Maximus Technology, and NumberSmasher 2U GPU Server with 4 Tesla “Kepler” GPU Accelerators at the NVIDIA GPU Technology Conference. Both can be seen in Booth 215 at NVIDIA GTC in San Jose on March 19-21, 2013.

A single quiet workstation, WhisperStation-Maximus combines the visualization and interactive design capability of the new NVIDIA Quadro K-Series GPUs with the high-performance computing power of multiple NVIDIA Tesla K20 GPUs. Tesla GPU accelerators automatically perform the heavy lifting of photorealistic rendering or engineering simulation computation; the NVIDIA Quadro GPU powers rich, full-performance, interactive design. Maximus is a paradigm shift for designers and engineers. Gone are the days of building a model and coming back hours later to check the results. With Microway's Maximus WhisperStations, simulations can run while the models are being continually tweaked.

The WhisperStation will be shown running Molegro Virtual Docker, from Molegro, a division of CLC Bio. This integrated platform for predicting protein - ligand interactions handles all aspects of the docking process from preparation of the molecules to determination of the potential binding sites of the target protein, and prediction of the binding modes of the ligands.

Microway will also exhibit a NumberSmasher 2U GPU server configuration ready for up to 4 NVIDIA GPUs. With 16 DIMMs, onboard FDR InfiniBand, redundant power, 8x 3.5” hard drives, hardware RAID support, and compatibility with a wide array of GPUs, the Microway solution provides superior capability to competing platforms.
“With speedups from 3x to 100x on over one hundred popular applications, scientists and engineers are leveraging GPUs for increased computational power. Providing faster and more accurate results, Microway's Tesla-based servers and workstations are the ideal foundation for high-performance computing workloads including climate and weather modeling, CFD, CAE, computational physics, biochemistry simulations, and computational finance,” commented Stephen Fried, Microway's President and CTO.

NVIDIA Tesla K-series GPU Accelerators are based on the NVIDIA Kepler™ compute architecture and powered by CUDA® the world’s most pervasive parallel computing model. They include innovative technologies like Dynamic Parallelism and Hyper-Q. With more than one teraflop peak double precision performance, the K20 GPU is ideal for the most aggressive applications.

For more information and a subscription to Microway's online technical newsletter, please visit http://www.microway.com.

About Microway, Inc.
Incorporated in 1982, Microway is a major vendor in the High Performance Computing market, designing state-of-the-art, high-end Linux clusters, servers, and data storage solutions. Users worldwide pushing the limits of technology choose us for solutions. These include universities, life sciences, financial, military, Fortune 500s, and research agencies. Microway is a Tesla Preferred Partner and an Intel Channel Platinum Partner. Classified as a small business, woman owned and operated, Microway's GSA Contract Number is GS-35F-0431N.
Microway, NumberSmasher, Quadputer, and WhisperStation are trademarks or registered trademarks of Microway, Inc.

NVIDIA 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® graphics products, the professional design and visualization market with its Quadro® graphics products and the high-performance computing market with its Tesla™ computing solutions products. NVIDIA is headquartered in Santa Clara, Calif. and has offices throughout Asia, Europe, and the Americas. For more information, visit http://www.nvidia.com.


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