There has been a bit of delay after our initial launch of Under the Wire. We decided to create some cutting-edge graphics, produce a concurrent video blog, and squeeze in some vacation time since …
Ask any Epidemiologist about another pandemic, and they will reply, "It is not a question of if, but of when." Many hard lessons were learned during the height of the recent COVID-19 pandemic (wh …
August 9, 2024
The Future of Memory and Storage (FMS) show, held this week at the Santa Clara Convention Center, might have one of the best spots on the calendar, coinciding w Read more…
July 3, 2024
Recently, an interesting paper appeared on Arvix called Use Cases for High-Performance Research Desktops. To be clear, the term desktop in this context does not Read more…
July 1, 2024
Join the SC24 SCinet team in Atlanta, GA, and learn high-performance networking while you network with high-performance people! Applications close July 15. Appl Read more…
June 21, 2024
As AI continues to reach into every domain of life, the question remains as to what kind of software these tools will run on. The choice in software stacks – Read more…
June 13, 2024
As managing editor of the major global HPC news source, the term "news fire hose" is often mentioned. The analogy is quite correct. In any given week, there are Read more…
May 28, 2024
Today, IBM declared that it is releasing a number of noteworthy changes to its watsonx platform, with the goal of increasing the openness, affordability, and fl Read more…
May 14, 2024
The Linux Foundation, the nonprofit organization enabling mass innovation through open source, is excited to announce the launch of the High-Performance Softw Read more…
January 18, 2024
AI is here to stay and is becoming a larger part of the workload processed on servers and PCs. That's why Nvidia is seeing success as a chipmaker, and there is excitement around large language models such as Meta's open-source Llama. An eager audience wants to get a handle on such models... 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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