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AMAX Launches Highest-Density GPGPU Solution
Posted by John C. Tran, Friday November 19 2010 @ 02:44PM EST

For Immediate Release

AMAX Launches Highest-Density GPGPU Server Solution on the Market Today

Optimized for Extreme Performance and Flexibility Required by the Most Demanding Supercomputing Applications

Fremont, CA – November 8, 2010. AMAX, a leading HPC solutions innovator, today announced the availability of the ServMax AS-5160G GPGPU HPC solution for large scale supercomputing deployments. Combined with a ServMax AS-3160G, an advanced 3U 16GPU cluster building block, and two 1U Intel™ or AMD™ host systems, the ServMax AS-5160G is the highest-density 5U 16GPU server solution on the market today. The AS-5160G is optimized for the extreme performance and flexibility required to drive the most demanding supercomputing applications in oil and gas exploration, financial modeling, weather forecasting, real-time rendering and scientific and engineering research.

Based on NVIDIA’s CUDA™ GPU architecture, the new AS-5160G rounds out the portfolio of AMAX’s GPGPU high performance computing solutions that give researchers, engineers and scientists the most powerful computing tools on the market to generate large-scale breakthroughs and bring innovations to life. The system was designed to concentrate tremendous computing power in a simple, scalable format that brings high-availability with redundant components. It features an unprecedented level of ease of serviceability with front-loaded hot-pluggable GPU modules and high-manageability with built-in IPMI.

In terms of performance, the AS-5160G delivers 16.48 teraflops of single precision performance in a single chassis and features ECC memory for uncompromised accuracy and scalability. When compared to other competing GPGPU solutions, the AS-5160G delivers 25% greater density, 31% lighter weight, and 11% fewer racks and switches. The AS-5160G expands on the innovative AMAX ServMax Server Series to give customers maximum flexibility in how they build and scale data center infrastructures, whether their needs revolve around the highest possible density, fastest performance or best power efficiency.

“The key to success for AMAX has been identifying key market segments and designing an HPC solution to meet the specific needs of customers in those segments, from performance to feasibility,” said Jean Shih, President at AMAX. “We’ve seen a sharp rise in demand for ultra-dense high-performance GPU solutions, and to answer that demand, the ServMax AS-5160G delivers not only the highest density on the market, but more aggressive power-saving tactics while packing a powerful punch. This means massive performance at a higher level of efficiency, in an easily serviceable package—it’s the ultimate win-win solution.”

AMAX will also be demonstrating its latest HPC solutions at SC 2010 Conference in New Orleans, LA, from November 15-18, 2010 at booth #4546. For more information about the AMAX ServMax AS-5160G GPGPU HPC solution, please visit: http://www.amax.com.

About AMAX Founded in 1979, AMAX is a leading provider of high performance computing solutions. The company applies a unique combination of engineering expertise with an open standards-based approach to dramatically increase IT infrastructure ROI for a broad range of customers. Global organizations, including some of the world’s best-known brands, use AMAX offerings to solve complex computing challenges, meet product development demands, integrate virtualization applications, reduce energy consumption, and stay competitive. AMAX is proud to be ISO 9001 Certified and China Compulsory Certified. The company headquarters is in Fremont, CA with offices in Richardson, TX, Taipei, Taiwan, and Suzhou and Shanghai, China. For more information on products and services, go to http://www.amax.com.

Media Contact: John C. Tran AMAX Information Technologies 510-497-8950 john_tran@amax.com ###

< siCluster NAS Scales in Performance, Retains Ease of Manageability | AMAX Unveils New HPC Solution Offering Extreme Performance and Scalability >



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