July 16, 2015
At IDC’s annual ISC breakfast there was a good deal more than market update numbers although there were plenty of those: “We try to track every server sold, Read more…
October 20, 2011
At SC11 in Seattle, the stage is set for data-intensive computing to steal the show. This year's theme correlates directly to the "big data" trend that is reshaping enterprise and scientific computing. We give an insider's view of some of the top sessions for the big data crowd and a broader sense of how this year's conference is shaping up overall. Read more…
May 26, 2011
The Weekly Top Five features the five biggest HPC stories of the week, condensed for your reading pleasure. This week, we cover the NC State effort to overcome the memory limitations of multicore chips; the sale of the first-ever commercial quantum computing system; Cray's first GPU-accelerated machine; speedier machine learning algorithms; and the connection between shrinking budgets and increased reliance on modeling and simulation. Read more…
October 27, 2010
Languages like R and MATLAB, which were once unofficially reserved for technical computing domains are slowly finding their way into enterprises due to the rise in demand for large-scale data analytics. This demand is coupled with recent announcements about cloud-based ways to use these languages, opening new doors to access and use. Read more…
September 28, 2010
Truthy.indiana.edu exposes dirty politics on the Web. Read more…
April 16, 2010
Even computer-unsavvy scientists will be able to use NASA Earth Exchange to collaborate on modeling and analysis of large data sets. Read more…
As Federal agencies navigate an increasingly complex and data-driven world, learning how to get the most out of high-performance computing (HPC), artificial intelligence (AI), and machine learning (ML) technologies is imperative to their mission. These technologies can significantly improve efficiency and effectiveness and drive innovation to serve citizens' needs better. Implementing HPC and AI solutions in government can bring challenges and pain points like fragmented datasets, computational hurdles when training ML models, and ethical implications of AI-driven decision-making. Still, CTG Federal, Dell Technologies, and NVIDIA unite to unlock new possibilities and seamlessly integrate HPC capabilities into existing enterprise architectures. This integration empowers organizations to glean actionable insights, improve decision-making, and gain a competitive edge across various domains, from supply chain optimization to financial modeling and beyond.
Data centers are experiencing increasing power consumption, space constraints and cooling demands due to the unprecedented computing power required by today’s chips and servers. HVAC cooling systems consume approximately 40% of a data center’s electricity. These systems traditionally use air conditioning, air handling and fans to cool the data center facility and IT equipment, ultimately resulting in high energy consumption and high carbon emissions. Data centers are moving to direct liquid cooled (DLC) systems to improve cooling efficiency thus lowering their PUE, operating expenses (OPEX) and carbon footprint.
This paper describes how CoolIT Systems (CoolIT) meets the need for improved energy efficiency in data centers and includes case studies that show how CoolIT’s DLC solutions improve energy efficiency, increase rack density, lower OPEX, and enable sustainability programs. CoolIT is the global market and innovation leader in scalable DLC solutions for the world’s most demanding computing environments. CoolIT’s end-to-end solutions meet the rising demand in cooling and the rising demand for energy efficiency.
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