High-Performance Storage for AI and Analytics Panel

When storage is mentioned in an AI or Big Data analytics context, it is assumed to be a high-performance system. In practice, it may not be, and the user eventually learns about scaleable storage

By Doug Eadline

PNNL-Microsoft Collaborate on Cloud Computing for Chemistry, More to Come

RICHLAND, Wash.—Some computing challenges are so big that it’s necessary to go all in. That’s the approach a diverse team of scientists and computing experts led by the Department of Energ

By Karyn Hede

Nvidia Is Increasingly the Secret Sauce in AI Deployments, But You Still Need Experience

I’ve been through a number of briefings from different vendors from IBM to HP, and there is one constant: they are all leaning heavily on Nvidia for their AI services strategy. That may be a be

By Rob Enderle

IBM Quantum Summit Evolves into Developer Conference

Instead of its usual quantum summit this year, IBM will hold its first IBM Quantum Developer Conference which the company is calling, “an exclusive, first-of-its-kind.” It’s planned as an i

By John Russell

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IBM Develops New Quantum Benchmarking Tool — Benchpress

September 26, 2024

Benchmarking is an important topic in quantum computing. There’s consensus it’s needed but opinions vary widely on how to go about it. Last week, IBM introd Read more…

Building the Quantum Economy — Chicago Style

September 24, 2024

Will there be regional winner in the global quantum economy sweepstakes? With visions of Silicon Valley’s iconic success in electronics and Boston/Cambridge� Read more…

Microsoft, Quantinuum Use Hybrid Workflow to Simulate Catalyst

September 13, 2024

Microsoft and Quantinuum reported the ability to create 12 logical qubits on Quantinuum's H2 trapped ion system this week and also reported using two logical qu Read more…

NSF Seeks Proposals for Next Round of Quantum Leap Challenge Institutes

September 3, 2024

Last week NSF issued a request for the next round of proposals for its Quantum Leap Challenge Institutes (QLCI). First established in 2020, the QLCI program, as Read more…

NIST Issues Post Quantum Cryptography Standards and Calls for their Adoption

August 13, 2024

After much anticipation, the National Institute of Standards and Technology (NIST) issued its first Post Quantum Cryptography (PQC) standards today. They are in Read more…

Legal AI Tech Startup Puts Humans, Not LLMs, at Center of Strategy

August 10, 2024

Many tech startups developing AI tech before ChatGPT burst onto the scene are seeing some benefits of generative AI. But one AI startup focused on the legal Read more…

Colocating Quantum with Classical Computers: Building New Hybrid Data Centers

July 29, 2024

As quantum computers continue to advance, the motivation to colocate quantum computers with classical counterparts in hybrid data centers is gaining traction. Read more…

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NSF Issues Next Solicitation and More Detail on National Quantum Virtual Laboratory

July 10, 2024

After percolating for roughly a year, NSF has issued the next solicitation for the National Quantum Virtual Lab program — this one focused on design and imple 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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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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