July 17, 2023
Editor’s note; Recently Google's Bard provided what it considered the Top 5 Trends in HPC for the First 6 Months of 2023 to HPCwire. While the answers Read more…
August 25, 2020
Larry Smarr may have stepped back from full-time work in the Computer Science and Engineering Department at the University of California, San Diego, but that do Read more…
August 20, 2019
The enterprise version of the Singularity HPC container platform released this week by Sylabs is designed to allow users to create, secure and share the high-en Read more…
April 24, 2019
Panels tend to be among the livelier conference sessions and the “Containers” panel at Tabor’s Advanced Scale Forum last week in Jacksonville, Fla., was c Read more…
August 29, 2018
Microsoft Azure continued to beef up support for HPC and advanced scale workloads today announcing general availability of CycleCloud – its HPC cloud orchestr Read more…
March 29, 2018
In a series of challenging high performance computing applications in the life sciences, UberCloud’s HPC containers have been packaged recently with several scientific workflows and application data to simulate complex phenomena in human’s heart and brain. Read more…
December 18, 2017
Most scientific computing facilities, such us HPC or grid infrastructures, are shared among different research disciplines, and thus the system software environ Read more…
November 1, 2017
Just a few months ago about half a million jobs were being run daily using Singularity containers, the LBNL-founded container platform intended for HPC. That wa 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.
© 2024 HPCwire. All Rights Reserved. A Tabor Communications Publication
HPCwire is a registered trademark of Tabor Communications, Inc. Use of this site is governed by our Terms of Use and Privacy Policy.
Reproduction in whole or in part in any form or medium without express written permission of Tabor Communications, Inc. is prohibited.