February 14, 2013
RALEIGH, N.C., Feb. 14 – Red Hat, Inc., the world’s leading provider of open source solutions, today announced it will host a press webcast at 11:30 a.m. ET on Feb. 20, 2013 about big data and the open hybrid cloud. The press webcast will be hosted by Ranga Rangachari, general manager and vice president of Red Hat’s Storage Business Unit.
A live question and answer session will follow the presentation. Questions can be submitted directly via the webcast platform, sent to email@example.com or submitted through Twitter via the hashtag #redhat.
To register for this press webcast or view the replay, please visit here.
About Red Hat, Inc.
Red Hat is the world’s leading provider of open source software solutions, taking a community-powered approach to reliable and high-performing cloud, Linux, middleware, storage and virtualization technologies. Red Hat also offers award-winning support, training, and consulting services. As the connective hub in a global network of enterprises, partners, and open source communities, Red Hat helps create relevant, innovative technologies that liberate resources for growth and prepare customers for the future of IT.
Source: Red Hat
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?