Dr. Kathryn Mohror, Lawrence Livermore National Laboratory, has been named the 2024 ACM SIGHPC Emerging Woman Leader In Technical Computing. Dr. Mohror is a Distinguished Member of the Technical …
This week, NREL's Kestrel supercomputer reached full operational status, enhancing renewable energy research with its 44 petaflops of power. NVIDIA unveiled StormCast, a new AI model designed to …
In celebration of HPCwire’s 35th Anniversary, we have profiled 35 luminaries who made HPC possible. See who they are!
August 16, 2024
This week, NIST's announcement of the first post-quantum encryption standards marks a significant milestone in securing our digital future against quantum threa Read more…
August 12, 2024
In recent years, high-performance computing (HPC) and artificial intelligence (AI) have revolutionized how organizations process and analyze massive amounts of Read more…
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…
August 6, 2024
The number of companies planning to store an exabyte of data or more is skyrocketing, thanks to the AI revolution. To help streamline the storage buildouts and Read more…
August 2, 2024
Nothing puts a damper on the news parade quite like massive layoffs. Intel announced that it would be slashing 15,000 jobs as part of a strategy to tackle finan Read more…
July 20, 2024
A German startup named Cerabyte is hoping to solve the burgeoning market for secondary and archival data storage with a novel approach that uses lasers to etch Read more…
June 8, 2024
Computex (and Jensen Huang) gave us an extra day of news this week, compensating for last week's shorter, holiday-driven news cycle. On Sunday ahead of the o Read more…
May 30, 2024
Artificial Intelligence (AI) Large Language Models and other forms of Deep Learning already require enormous amounts of training data. The data volumes are expe 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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