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…
May 3, 2024
Curious how the market for distributed file systems, interconnects, and high-end storage is playing out in 2024? Then you might be interested in the market anal Read more…
February 29, 2024
At the cusp of a new era in technology, enterprise IT stands on the brink of the most profound transformation since the Internet's inception. This seismic shift Read more…
November 2, 2023
The mass adoption of object storage systems like Amazon S3 may appear to be a top achievement of the big data era, since we got essentially unlimited storage ac Read more…
February 7, 2017
For more than a decade the swelling output from life sciences experimental instruments has been overwhelming research computing infrastructures intended to supp Read more…
February 26, 2016
Researchers from the University of Colorado Boulder (CU-Boulder), Colorado State University (CSU) and the Rocky Mountain Advanced Computing Consortium will soon have access to a half-petaflop heterogeneous Dell PowerEdge C-series supercomputer. Read more…
October 5, 2015
Storage and data management have become the perhaps the most challenging computational bottlenecks in life sciences (LS) research. The volume and diversity of d Read more…
August 11, 2015
Purdue University, like most big research institutions, relies on a constantly evolving cyber infrastructure to support its large and diverse community of resea 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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