October 25, 2024
RICHLAND, Wash.—Some computing challenges are so big that it’s necessary to go all in. That’s the approach a diverse team of scientists and computing expe Read more…
March 4, 2020
Network analysis, appropriately, reaches more sectors than you might think – everything from tracking infectious diseases like the coronavirus to optimizing a Read more…
November 8, 2016
In September, the Center for Advanced Technology Evaluation (CENATE) at Pacific Northwest National Laboratory (PNNL) took possession of NVIDIA’s DGX-1 GPU-bas Read more…
February 9, 2016
Can MPI communication runtimes be designed to be energy-aware? Can energy be saved during MPI calls without a loss in performance? These are two questions brief Read more…
December 30, 2014
Doug Baxter is a capability lead for the Molecular Science Computing Facility in the Environmental Molecular Sciences Laboratory (EMSL) at Pacific Northwest Nat Read more…
April 29, 2014
There is little point to building expensive exaflop-class computing machines if applications are not available to exploit the tremendous scale and parallelism. Read more…
January 30, 2013
Atipa Technologies, a small privately-held division of PC and server maker Microtech Computers, has just sold a $17 million, 3.4 petaflops supercomputer to the Environmental Molecular Sciences Laboratory (EMSL), a DOE government research lab. It's a coup – for Atipa, CPU accelerators and Xeon Phi. 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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