June 17, 2024
The world is currently experiencing two of the largest societal upheavals since the beginning of the Industrial Revolution. One is the rapid improvement and imp Read more…
January 24, 2024
The University of Edinburgh has initiated a £2.6 million feasibility study on utilizing excess heat from its Advanced Computing Facility (ACF) for residential Read more…
May 30, 2023
In the wake of SC22 last year, HPCwire wrote that “the conference’s eyes had shifted to carbon emissions and energy intensity” rather than the historical Read more…
April 22, 2022
Just in time for Earth Day, the San Diego Supercomputer Center (SDSC) has announced that it has replaced tens of thousands of pounds of toxic batteries with a m Read more…
August 9, 2021
Today, the Intergovernmental Panel on Climate Change (IPCC) released its Sixth Assessment Report, a stark reality check that warns of “widespread, rapid and i Read more…
January 23, 2020
A federal energy research initiative is gaining momentum with the release of a contract award aimed at using supercomputing to harness 3D printing technology th Read more…
December 24, 2019
In the United States, building energy use is a serious problem: buildings account for 70 percent of total electricity consumption, with the plurality of the ene Read more…
August 14, 2018
The U.S. Department of Energy (DOE) National Renewable Energy Laboratory (NREL) has contracted with Hewlett Packard Enterprise (HPE) for a new 8-petaflops (peak 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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