September 12, 2024
Despite overwhelming evidence, some companies remain surprised by this simple revelation: Diverse workforces and leadership teams are good for business. Compani Read more…
September 5, 2024
The data fabric has emerged as an enterprise data management pattern for companies that struggle to provide large teams of users with access to well-managed, in Read more…
September 3, 2024
Last week NSF issued a request for the next round of proposals for its Quantum Leap Challenge Institutes (QLCI). First established in 2020, the QLCI program, as Read more…
August 5, 2024
A U.S. government working group has published final guidelines on implementing security in high-performance computers. To support that, government labs and rese Read more…
July 29, 2024
The National Science Foundation (NSF) has announced a major investment to build a new Leadership-Class Computing Facility (LCCF) facility at The University of T Read more…
July 23, 2024
In a somewhat unusual action, the National Science Board, which oversees the National Science Foundation, today issued a policy brief calling for swift dramatic Read more…
July 10, 2024
After percolating for roughly a year, NSF has issued the next solicitation for the National Quantum Virtual Lab program — this one focused on design and imple Read more…
April 25, 2024
The journey begins as Kate Keahey's wandering path unfolds, leading to improbable events. Keahey, Senior Scientist at Argonne National Laboratory and the Uni 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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