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The Three Laws of Robotics and the Future
September 14, 2024
Isaac Asimov's Three Laws of Robotics have captivated imaginations for decades, providing a blueprint for ethical AI long before it became a reality. First i Read more…
Is the GenAI Bubble Finally Popping?
August 21, 2024
Doubt is creeping into discussion over generative AI, as industry analysts begin to publicly question whether the huge investments in GenAI will ever pay off. T Read more…
High-Performance Computing and AI: Powering GPU Computing with Hyperscale NAS
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…
Yes, Big Data Is Still a Thing (It Never Really Went Away)
July 3, 2024
A funny thing happened on the way to the AI promised land: People realized they need data. In fact, they realized they need large quantities of a wide variety o Read more…
Four Steps to Ensure GenAI Safety and Ethics
June 27, 2024
With the deployment of generative artificial intelligence (GenAI) happening at a rapid pace, organizations of all sizes are tasked with navigating the chall Read more…
Top Three Pitfalls to Avoid When Processing Data with LLMs
June 26, 2024
It’s a truism of data analytics: when it comes to data, more is generally better. But the explosion of AI-powered large language models (LLMs) like ChatGPT an Read more…
HPE and NVIDIA Join Forces and Plan Conquest of Enterprise AI Frontier
June 20, 2024
The HPE Discover 2024 conference is currently in full swing, and the keynote address from Hewlett-Packard Enterprise (HPE) CEO Antonio Neri on Tuesday, June 18, Read more…
Everyone Except Nvidia Forms Ultra Accelerator Link (UALink) Consortium
May 30, 2024
Consider the GPU. An island of SIMD greatness that makes light work of matrix math. Originally designed to rapidly paint dots on a computer monitor, it was then Read more…
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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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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.
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