Bull Reselling Xyratex ClusterStor

Bull SAS, an international provider of HPC solution,s and Xyratex, Ltd, a Seagate company, have entered into a wordwide reseller partner agreement enabling Bull to resell ClusterStor solutions.

Collectively, bullx supercomputers and ClusterStor solutions provide performance and energy efficiency to HPC users – a direct result of the performance of ClusterStor, a Lustre integrated storage appliance, and bullx supercomputer capabilities which include direct liquid cooled blades.

Members of Bull, DKRZ and Xyratex teams
“The WW agreement between Bull and Seagate is a new milestone in our cooperation to meet the extreme requirements of valued customers such as Deutsches Klimarechenzentrum (DKRZ) to provide extremely reliable and easy-to-manage HPC big data solutions based on our award-winning bullx supercomputers,” said Pascal Barbolosi, VP, Bull extreme computing.

“The exponential growth in digital data, and the requirement to analyse that data, is driving the world’s leading HPC and storage manufacturers to join forces and meet this rapidly growing need,” said Jamie Lerner, president, cloud systems and solutions, Seagate. “Our agreement with Bull combines cutting-edge products and industry-leading expertise enabling our customers to address their data challenges with far greater efficiency than ever before.“

The reseller arrangement builds upon the established relationship between Bull and Seagate which includes both technical as well as customer engagements. This includes a recent contract award with DKRZ for Bull to design and install a 3-petaflop bullx B720 supercomputer with 45 PB of ClusterStor CS9000 parallel storage capable of 1TB/s performance.

DKRZ is the national climate computing centre located in Hamburg, Germany providing HPC and high capacity data management for climate science. The new Bull and Seagate joint solution, named HLRE-3, will provide up to 20x application performance while requiring the same power resources as its HLRE-II predecessor.

“Climate simulation generates massive amounts of digital data that needs to be processed quickly and efficiently,” said Professor Thomas Ludwig, director, DKRZ and research team leader. “The ClusterStor solution provided the best performance density and, therefore, was the most efficient high-performance storage offering for our environment.“