There are three simple AI truths facing businesses today. First, any organization that doesn’t embrace AI will soon become obsolete. Second, organizations that don’t prioritize efficient AI will also face […]
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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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Catch two full days of content examining FSI through the lenses of AI, HPC, Data Management, and Quantum Computing.
October 23, 2024
A new AI model from Nvidia knows just how many R’s are in the word strawberry, a feat that OpenAI’s GPT-4o model has yet to achieve. In what is known as the "strawberry problem," GPT-4o and a few other established mo Read more…
October 23, 2024
Citizen mathematicians are using GPUs to find the highest prime numbers based on specific computing formulas. As it turns out, it is also a good way to stress test GPUs and map progress in computing capabilities over dec Read more…
October 22, 2024
In AI, time is money. Top AI players are spending billions to create computing infrastructures to satisfy that need for speed. However, these companies are bottlenecked by computing constraints at the chip, memory, and I Read more…
October 22, 2024
Quantum error correction specialist Riverlane today released a fascinating report — The Quantum Error Correction Report 2024 — that’s worth scanning; IBM and 28 collaborators last week released V-score, a new metri Read more…
October 21, 2024
Both AMD and Intel were founded in the Disco era, and it took them decades to establish a brotherhood to protect the long-term interests of x86. But what took them so long? There's a history of bad blood between the riva Read more…
October 20, 2024
In this installment of The HPC Debrief, we will discuss a big topic in HPC -- cluster provisioning. Getting hardware on-prem or in the cloud is often the easy part of standing up an HPC or AI cluster. Indeed, cloud techn Read more…
October 23, 2024
A new AI model from Nvidia knows just how many R’s are in the word strawberry, a feat that OpenAI’s GPT-4o model has yet to achieve. In what is known as the Read more…
October 22, 2024
In AI, time is money. Top AI players are spending billions to create computing infrastructures to satisfy that need for speed. However, these companies are bott Read more…
October 21, 2024
Both AMD and Intel were founded in the Disco era, and it took them decades to establish a brotherhood to protect the long-term interests of x86. But what took t Read more…
October 20, 2024
In this installment of The HPC Debrief, we will discuss a big topic in HPC -- cluster provisioning. Getting hardware on-prem or in the cloud is often the easy p Read more…
October 17, 2024
There have been some recent press releases and headlines with the phrase "AI Exascale" in them. Other than flaunting the word exascale or even zettascale, these Read more…
October 17, 2024
It's a wrap! The Texas Advanced Computing Center (TACC) at UT Austin welcomed more than 100 participants for the 7th annual TACC Symposium for Texas Researchers Read more…
October 16, 2024
Nvidia announced it has contributed foundational elements of its Blackwell accelerated computing platform design to the Open Compute Project (OCP). Shared at th Read more…
October 15, 2024
Advanced Micro Devices has detailed two new GPUs that unambiguously reinforce it as the only legitimate GPU alternative to Nvidia. AMD shared new facts on its n Read more…
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…
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…
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…
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…
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…
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…
September 5, 2024
Elon Musk's xAI cluster, named Colossus (possibly after the 1970 movie about a massive computer that does not end well), has been brought online. Musk recently Read more…
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…
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…
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…
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…
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…
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…
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…
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, accor Read more…
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…
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.
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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