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What’s New with Chapel? Nine Questions for the Development Team
HPC news headlines often highlight the latest hardware speeds and feeds. While advances on the hardware front are important, improving the ability to write software for advanced systems is equall …
Point and Click HPC: High-Performance Desktops
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 refer to a machine but rather a co …
Quantinuum, CU Succeed Implementing Nonlocal qLDPC Code
July 2, 2024
Trapped ion quantum computing specialist Quantinuum and University of Colorado (Boulder) researchers reported yesterday they had implemented nonlocal qLDPC code Read more…
Spelunking the HPC and AI GPU Software Stacks
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…
Slide Shows Samsung May be Developing a RISC-V CPU for In-memory AI Chip
June 19, 2024
Samsung may have unintentionally revealed its intent to develop a RISC-V CPU, which a presentation slide showed may be used in an AI chip. The company plans to 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…
Highlights from GlobusWorld 2024: The Conference for Reimagining Research IT
June 11, 2024
The Globus user conference, now in its 22nd year, brought together over 180 researchers, system administrators, developers, and IT leaders from 55 top research 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…
NIST Q&A: Getting Ready for the Post Quantum Cryptography Threat? You Should be.
June 3, 2024
With the National Institute of Standards and Technology (NIST) set to publish the first Post Quantum Cryptography (PQC) Standards in a few weeks, attention is s Read more…
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Whitepaper
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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