July 15, 2024
Peter Shor, the MIT mathematician whose ‘Shor’s algorithm’ sent shivers of fear through the encryption community and helped galvanize ongoing efforts to b Read more…
November 29, 2023
Why should HPC practitioners care about ethics? And, what are our ethics in HPC? These questions were central to a lively discussion at the SC23 Birds-of-a-Fe Read more…
November 4, 2019
In this monthly feature, we’ll keep you up-to-date on the latest career developments for individuals in the high-performance computing community. Whether it� Read more…
July 24, 2019
IEEE yesterday released the 2018 update to its International Roadmap for Devices and System (IRDS). It’s part history text, part crystal ball, and as IEEE emp Read more…
November 9, 2018
The Cambrian explosion of about 500 million years ago is a popular metaphor for the tail end of Moore’s Law scaling and the emergence of a variety of processi Read more…
November 8, 2018
It is telling that the keynote speaker at a major U.S. computer engineering conference represents the Department of Defense, which is pouring billions of R& Read more…
November 30, 2015
Most who work in the high performance computing (HPC) industry agree; people problems are far more complicated than technical challenges. Diversity, or the lack Read more…
November 18, 2015
Team Diablo, a team of undergraduate students from Tsinghua University in China, won the top prize in the Student Cluster Competition at the SC15 conference in 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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