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Terascala and Appro Maximize HPC Solutions
Posted by Maria McLaughlin, Wednesday April 01 2009 @ 12:31PM EDT

Joint solutions with Appro’s Scalable Cluster Architectures and Terascala’s high throughput storage appliances

AVON, Mass. and Milpitas, CA – March 31, 2009 – Terascala, Inc., (www.terascala.com) a provider of high throughput, high capacity storage appliances and Appro (http://www.appro.com), a leading provider of supercomputing solutions, today announced their partnership to maximize high performance computing solutions through the combination of Appro’s Xtreme-X™ Supercomputers and Appro’s HyperGreen™ Blade Cluster solution using Terascala’s high throughput storage appliances.

Appro’s Xtreme-X Supercomputer Series paired with Terascala’s MTS 1000 Storage will offer high performance and high availability with high throughput in an easy-to-deploy redundant storage appliance providing greater performance and enhanced value to customers with high performance and high availability requirements. Also, Appro’s new HyperGreen Blade Cluster solution combined with RTS 1000 Storage solution from Terascala offers high throughput, high capacity, in an easy-to deploy Lustre-based appliance, simplifying the management of HPC storage while improving the efficiency and I/O performance for flexible and open cluster computing deployments. Appro and Terascala together offer customers flexibility based on a common goal of helping them reduce complexity in deploying and managing their High Performance Computing solutions, while lowering their total cost of ownership.

“An important consideration when designing an efficient supercomputing environment is to maximize infrastructure utilization. The partnership with Terascala Storage solutions and Appro’s supercomputing server solutions maximize infrastructure utilization while balancing energy consumption, providing customers with better performance, cost efficiencies and superior value,” said John Lee, VP of Advanced Technology Solutions for Appro. “Appro and Terascala solutions deliver a balanced infrastructure by optimizing data management with processing nodes running at full utilization making it an ideal solution for high performance computing customers.”

“Appro has an excellent reputation for product innovation and has installations in some of the most advanced challenging supercomputing environments around the world,” said Rick Friedman, Vice President of Marketing at Terascala. “We are pleased to join forces with Appro. For Terascala, Appro is an ideal partner that shares our strategic goals of delivering technological innovation with superior performance that meets customers’ requirements.” About Terascala Terascala develops high throughput, high capacity and cost-effective storage solutions. Its unique storage appliance approach is changing the dynamics of the performance driven computing market, enabling existing users to do more for less while enabling new users to maximize the capabilities of their processing infrastructure. Terascala is based in Avon, MA. To learn more go to www.terascala.com

About Appro

Appro is a leading developer of supercomputing solutions. Appro is uniquely positioned to support High Performance Computing markets focusing on medium to large-scale deployments where lowest total cost of ownership is a primary consideration. Appro accelerates technical applications and business results unlocking the value of IT through outstanding price/performance, balanced architecture, open standards and engineering expertise.

Appro launched this year a Go-Green Initiative, a comprehensive program designed to create a culture of environmental responsibility for the development of new products and solutions. The initiative combines the latest green technologies with Appro’s open, flexible and energy-efficient high performance computing platforms. Appro headquarters is in Milpitas, CA, with offices in Korea and Houston, TX. To learn more go to http://www.appro.com.

< Scalable Informatics Offers Cell + GPU Hybrids | Appro Unveils HyperGreen™ Cluster to boost Power Efficiency and Performance in a Datacenter >



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