April 6, 2011
Bruce Maches provides a thorough examination of the complexity and resource requirements of specialized life science applications and what the role (and challenges) will be as cloud continue to enter into the industry. Many life science companies are struggling to afford to internally build, implement, and support much of the required systems and infrastructure but as Maches argues, there are alternatives. Read more…
March 15, 2011
We recently published an article that provided the opinions of a number of thought and industry leaders on the subject of public cloud viability for mission-critical or business-critical needs. While the responses were rather wide-ranging, there were a few common issues (including matters of cost, security and existing investment) that got Robin Meehan’s wheels turning. Read more…
September 16, 2010
Making sense of private cloud ROI is tricky business; for some, private clouds are a no-brainer following even a cursory cost analysis, for others this is never quite clear—just how much will be saved with an investment now (despite constrained budgets) over the course of say, five years—and will it be worth it? Read more…
August 24, 2010
While private clouds are getting far more attention than they received at the beginning of the cloud buzz boom, the realities of the complexities of actual building them--not to mention the financial and time investments--are often overlooked. Read more…
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.
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.
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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