The Cloud Is Over Most People’s Heads

September 5, 2012

Recent surveys show that most people are woefully unfamiliar with cloud technologies. Read more…

By Robert Gelber, OpenStack and the Longevity of the Cloud Brand

December 1, 2011

For decades, the distributed computing architecture now known as cloud suffered a branding problem. Will the cloud label suffer the same fate? Read more…

By Tiffany Trader

Citrix: Cloud to Carry Xen Against VMware

October 27, 2008

Vice president for special products at Citrix, Ian Pratt discusses how the company hopes to make headway in the virtualization market. Read more…

By Peter Judge

Will Virtual Iron Stop the VMware Freight Train?

October 22, 2008

Although Virtual Iron launched a server virtualization product in 2006 -- and claims 2,000 clients -- its profile so far remains low. Read more…

By James Maguire

Weigh Up Your Virtual Options

October 16, 2008

IT managers need to carefully evaluate their own plans before deciding which virtualization vendor provides the best match for their strategy. Read more…

By Daniel Robinson

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Full & Complete coverage of SC17

Keynote Reviews, Analysts Write Ups, Booth Vidoes, Student Competition, Awards and so much

Did you miss out on Supercomputing 2017? Did you attend, but were stuck in meetings the whole time without an opportunity to walk the show floor and see what new announcements were being made? HPCwire's got you covered, we visited some of the hottest booths in the exhibit hall and spoke with their top executives to get the scoop on the latest solutions, partnerships, and product announcements.

Click here to view HPCwire Coverage of SC17


Avoiding the Storage Silo Trap; Best Practices for Data Storage in Scientific Research

From mismatches between compute and storage capabilities to colossal data volumes, data storage presents a number of challenges for scientific research. And as silos pop up and challenges expand, the pace of research often suffers.

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Creating a Modular, Building-Block Architecture for Life Science Workflows

As genomic data becomes ubiquitous, infrastructure bottlenecks for life sciences organizations are narrowing. But speedy analysis and real-time decision making don't have to remain out of reach: modern end-to-end systems are emerging as flexible solutions for a competitive edge.

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