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AWS Perfects Cloud Service for Supercomputing Customers
Amazon's AWS believes it has finally created a cloud service that will break through with HPC and supercomputing customers. The cloud provider announced the commercial availabilit …
Weekly Wire Roundup: Aug. 12-Aug. 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 threats. The DOE named the 2024 Office o …
Preparing for the Next Pandemic: Developing an Open Science Platform for Better Decision-Making in Public Health
August 16, 2024
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 Read more…
Weekly Wire Roundup: Aug. 5-Aug. 9, 2024
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…
Weekly Wire Roundup: July 15-July 19, 2024
July 19, 2024
It's summertime (for most of us), and the HPC-related headlines aren't as plentiful as they once were. But not everything has to happen at high tide-- this week Read more…
Generative AI to Account for 1.5% of World’s Power Consumption by 2029
July 8, 2024
Generative AI will take on a larger chunk of the world's power consumption to keep up with the hefty hardware requirements to run applications. "AI chips repres Read more…
Apple Using Google Cloud Infrastructure to Train and Serve AI
June 18, 2024
Apple has built a new AI infrastructure to deliver AI features introduced in its devices and is utilizing resources available in Google's cloud infrastructure.� Read more…
MLPerf Training 4.0 – Nvidia Still King; Power and LLM Fine Tuning Added
June 12, 2024
There are really two stories packaged in the most recent MLPerf Training 4.0 results, released today. The first, of course, is the results. Nvidia (currently Read more…
Nvidia Shipped 3.76 Million Data-center GPUs in 2023, According to Study
June 10, 2024
Nvidia had an explosive 2023 in data-center GPU shipments, which totaled roughly 3.76 million units, according to a study conducted by semiconductor analyst fir Read more…
Weekly Wire Roundup: June 2-June 7, 2024
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…
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From Hallucination to Reality
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.
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Whitepaper
Why IT Must Have an Influential Role in Strategic Decisions About Sustainability
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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