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

NSF Grants $107,600 to English Professors to Research Aurora Supercomputer

The National Science Foundation has granted $107,600 to English professors at US universities to unearth the mysteries of the Aurora supercomputer. The two-year grant recipients will write up wha

By Agam Shah

VAST Looks Inward, Outward for An AI Edge

There’s no single best way to respond to the explosion of data and AI. Sometimes you need to bring everything into your own unified platform. Other times, you lean on […]

Maximizing HPC and AI in Government: How CTG Federal is Paving the Way

In today’s accelerated digital landscape, federal agencies are increasingly relying on high-performance computing (HPC) and artificial intelligence (AI) to address their most pressing challenges. These technologies are revolutionizing government operations […]

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Like Nvidia, Google’s Moat Draws Interest from DOJ

October 14, 2024

A "moat" is a common term associated with Nvidia and its proprietary products that lock customers into their hardware and software. Another moat breakdown should have them concerned. The U.S. Department of Justice is Read more…

Recipe for Scaling: ARQUIN Framework for Simulating a Distributed Quantum Computing System

October 14, 2024

One of the most difficult problems with quantum computing relates to increasing the size of the quantum computer. Researchers globally are seeking to solve this “challenge of scale.” To bring quantum scaling closer Read more…

Zapata Computing, Early Quantum-AI Software Specialist, Ceases Operations

October 14, 2024

Zapata Computing, which was founded in 2017 as a Harvard spinout specializing in quantum software and later pivoted to an AI focus, is ceasing operations, according to an SEC filing last week. Zapata had gone public one Read more…

AMD Announces Flurry of New Chips

October 10, 2024

AMD today announced several new chips including its newest Instinct GPU — the MI325X — as it chases Nvidia. Other new devices announced at the company event in San Francisco included the 5th Gen AMD EPYC processors, Read more…

Google Reports Progress on Quantum Devices beyond Supercomputer Capability

October 9, 2024

A Google-led team of researchers has presented more evidence that it’s possible to run productive circuits on today’s near-term intermediate scale quantum devices that are beyond the reach of classical computing. � Read more…

At 50, Foxconn Celebrates Graduation from Connectors to AI Supercomputing

October 8, 2024

Foxconn is celebrating its 50th birthday this year. It started by making connectors, then moved to systems, and now, a supercomputer. The company announced it would build the supercomputer with Nvidia's Blackwell GPUs an Read more…

Google Reports Progress on Quantum Devices beyond Supercomputer Capability

October 9, 2024

A Google-led team of researchers has presented more evidence that it’s possible to run productive circuits on today’s near-term intermediate scale quantum d Read more…

At 50, Foxconn Celebrates Graduation from Connectors to AI Supercomputing

October 8, 2024

Foxconn is celebrating its 50th birthday this year. It started by making connectors, then moved to systems, and now, a supercomputer. The company announced it w Read more…

The New MLPerf Storage Benchmark Runs Without ML Accelerators

October 3, 2024

MLCommons is known for its independent Machine Learning (ML) benchmarks. These benchmarks have focused on mathematical ML operations and accelerators (e.g., Nvi Read more…

DataPelago Unveils Universal Engine to Unite Big Data, Advanced Analytics, HPC, and AI Workloads

October 3, 2024

DataPelago this week emerged from stealth with a new virtualization layer that it says will allow users to move AI, data analytics, and ETL workloads to whateve Read more…

Stayin’ Alive: Intel’s Falcon Shores GPU Will Survive Restructuring

October 2, 2024

Intel's upcoming Falcon Shores GPU will survive the brutal cost-cutting measures as part of its "next phase of transformation." An Intel spokeswoman confirmed t Read more…

How GenAI Will Impact Jobs In the Real World

September 30, 2024

There’s been a lot of fear, uncertainty, and doubt (FUD) about the potential for generative AI to take people’s jobs. The capability of large language model Read more…

IBM and NASA Launch Open-Source AI Model for Advanced Climate and Weather Research

September 25, 2024

IBM and NASA have developed a new AI foundation model for a wide range of climate and weather applications, with contributions from the Department of Energy’s Read more…

Intel Customizing Granite Rapids Server Chips for Nvidia GPUs

September 25, 2024

Intel is now customizing its latest Xeon 6 server chips for use with Nvidia's GPUs that dominate the AI landscape. The chipmaker's new Xeon 6 chips, also called Read more…

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Intel’s Falcon Shores Future Looks Bleak as It Concedes AI Training to GPU Rivals

September 17, 2024

Intel's Falcon Shores future looks bleak as it concedes AI training to GPU rivals On Monday, Intel sent a letter to employees detailing its comeback plan after Read more…

Granite Rapids HPC Benchmarks: I’m Thinking Intel Is Back (Updated)

September 25, 2024

Waiting is the hardest part. In the fall of 2023, HPCwire wrote about the new diverging Xeon processor strategy from Intel. Instead of a on-size-fits all approa Read more…

Ansys Fluent® Adds AMD Instinct™ MI200 and MI300 Acceleration to Power CFD Simulations

September 23, 2024

Ansys Fluent® is well-known in the commercial computational fluid dynamics (CFD) space and is praised for its versatility as a general-purpose solver. Its impr Read more…

AMD Clears Up Messy GPU Roadmap, Upgrades Chips Annually

June 3, 2024

In the world of AI, there's a desperate search for an alternative to Nvidia's GPUs, and AMD is stepping up to the plate. AMD detailed its updated GPU roadmap, w Read more…

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Nvidia Economics: Make $5-$7 for Every $1 Spent on GPUs

June 30, 2024

Nvidia is saying that companies could make $5 to $7 for every $1 invested in GPUs over a four-year period. Customers are investing billions in new Nvidia hardwa 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…

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Researchers Benchmark Nvidia’s GH200 Supercomputing Chips

September 4, 2024

Nvidia is putting its GH200 chips in European supercomputers, and researchers are getting their hands on those systems and releasing research papers with perfor Read more…

Comparing NVIDIA A100 and NVIDIA L40S: Which GPU is Ideal for AI and Graphics-Intensive Workloads?

October 30, 2023

With long lead times for the NVIDIA H100 and A100 GPUs, many organizations are looking at the new NVIDIA L40S GPU, which it’s a new GPU optimized for AI and g Read more…

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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…

Intel Customizing Granite Rapids Server Chips for Nvidia GPUs

September 25, 2024

Intel is now customizing its latest Xeon 6 server chips for use with Nvidia's GPUs that dominate the AI landscape. The chipmaker's new Xeon 6 chips, also called Read more…

Quantum and AI: Navigating the Resource Challenge

September 18, 2024

Rapid advancements in quantum computing are bringing a new era of technological possibilities. However, as quantum technology progresses, there are growing conc Read more…

IonQ Plots Path to Commercial (Quantum) Advantage

July 2, 2024

IonQ, the trapped ion quantum computing specialist, delivered a progress report last week firming up 2024/25 product goals and reviewing its technology roadmap. Read more…

Google’s DataGemma Tackles AI Hallucination

September 18, 2024

The rapid evolution of large language models (LLMs) has fueled significant advancement in AI, enabling these systems to analyze text, generate summaries, sugges 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…

US Implements Controls on Quantum Computing and other Technologies

September 27, 2024

Yesterday the Commerce Department announced export controls on quantum computing technologies as well as new controls for advanced semiconductors and additive 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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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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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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