November 09, 2010
NEW ORLEANS, Nov. 9 -- RAID Incorporated, a high-performance solutions provider who specializes in optimizing total system performance by enhancing computational resources, interconnects, and I/O subsystems, has announced that it will be demonstrating its latest high-density, energy-efficient, performance-based scale-out Xanadu solution with GPFS at SC10. The company will be hosting private demonstrations upon request.
At the booth RAID will be showcasing:
The company will also unveil their Xanadu 300 at SC10, their latest storage solution which will lead the industry in density, performance, and energy consumption per terabyte.
Visit RAID Inc. at booth #4013 at SC 2010 in New Orleans La., November 15 - 19.
About RAID Incorporated
Since 1994 RAID Inc. has provided true 100 percent customized solutions for the HPC marketplace. The company specializes in optimizing total system performance by enhancing computational resources, interconnects, and I/O subsystems with a concierge support model that assures the highest level of personalized service. For more information about RAID Inc., visit www.raidinc.com or call 800-330-7335.
Source: RAID Inc.
10/30/2013 | Cray, DDN, Mellanox, NetApp, ScaleMP, Supermicro, Xyratex | Creating data is easy… the challenge is getting it to the right place to make use of it. This paper discusses fresh solutions that can directly increase I/O efficiency, and the applications of these solutions to current, and new technology infrastructures.
10/01/2013 | IBM | A new trend is developing in the HPC space that is also affecting enterprise computing productivity with the arrival of “ultra-dense” hyper-scale servers.
Ken Claffey, SVP and General Manager at Xyratex, presents ClusterStor at the Vendor Showdown at ISC13 in Leipzig, Germany.
Join HPCwire Editor Nicole Hemsoth and Dr. David Bader from Georgia Tech as they take center stage on opening night at Atlanta's first Big Data Kick Off Week, filmed in front of a live audience. Nicole and David look at the evolution of HPC, today's big data challenges, discuss real world solutions, and reveal their predictions. Exactly what does the future holds for HPC?