April 10, 2023
About a year and a half ago, HPE announced that it had been selected to build the next supercomputer for the DOE’s National Renewable Energy Laboratory (NREL) Read more…
March 25, 2022
With climate change accelerating and fossil fuel supplies proving increasingly contentious, ensuring a secure supply of clean energy is top-of-mind for many res Read more…
September 16, 2021
In this regular feature, HPCwire highlights newly published research in the high-performance computing community and related domains. From parallel programming Read more…
August 19, 2021
As the world barrels toward a dark climate future, many people’s hopes increasingly rest with major technological breakthroughs – including, perhaps most fa Read more…
June 16, 2021
Hydrogen energy has long remained an elusive target of the renewable energy industry, promising clean, carbon-free energy that would allow for rapid refueling, Read more…
October 15, 2020
In this bimonthly feature, HPCwire highlights newly published research in the high-performance computing community and related domains. From parallel programmin Read more…
August 6, 2020
The wind energy sector is a frequent user of high-power simulations, with researchers aiming to optimize wind flows and energy production from the massive turbi Read more…
April 8, 2020
According to the American Wind Energy Association, wind energy in the U.S. has more than tripled over the last ten years, making it the largest renewable energy 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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