October 27, 2016
The US Army is announcing new contracts with Cray and SGI to provide "high performance computing systems, administration, and maintenance" to the Department of Defense (DoD) High Performance Computing Modernization Program. Read more…
December 18, 2014
SGI was awarded a contract worth $30,750,000 to supply the Air Force Research Laboratory (AFRL) with a 3.9 petaflops SGI ICE X supercomputer. This is the second Read more…
February 25, 2010
Supercomputer maker off to a running start in 2010. Read more…
January 22, 2010
At a time when supercomputing centers seem to be multiplying across the US, the one up in Alaska looks like it could become an endangered species. The Arctic Region Supercomputing Center is slated to lose its Department of Defense funding at the end of May 2011, putting the jobs of nearly 50 employees in jeopardy and shrinking the scope of the work done at the northernmost HPC facility in the United States. 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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