April 18, 2023
Weather and climate applications are some of the most important for high-performance computing, often serving as raisons d'être and flagship workloads for the Read more…
March 21, 2023
If you are a die-hard Nvidia loyalist, be ready to pay a fortune to use its AI factories in the cloud. Renting the GPU company's DGX Cloud, which is an all-inclusive AI supercomputer in the cloud, starts at $36,999 per instance for a month. The rental includes access to a cloud computer with eight Nvidia H100 or A100 GPUs and 640GB... Read more…
November 10, 2022
AMD’s fourth-generation Epyc processor line has arrived, starting with the “general-purpose” architecture, called “Genoa,” the successor to third-gen Eypc Milan, which debuted in March of last year. At a launch event held today in San Francisco, AMD announced the general availability of the latest Epyc CPUs with up to 96 TSMC 5nm Zen 4 cores... Read more…
September 22, 2022
Microsoft shared details on how it uses an AMD technology to secure artificial intelligence as it builds out a secure AI infrastructure in its Azure cloud service. Microsoft has a strong relationship with Nvidia, but is also working with AMD's Epyc chips (including the new 3D VCache series), MI Instinct accelerators, and also... Read more…
September 16, 2022
Full-stack quantum computing startup Rigetti announced a number of new partnerships and strategic updates at its inaugural investor day meeting, held in-person Read more…
April 5, 2022
There was a time when “the cloud” ran on pretty vanilla x86 architecture, save for boutique firms like Nimbix (acquired by Atos last year) that pioneered the use of then-exotic hardware like GPUs and FPGAs and other Intel alternatives. If further evidence was needed of the... Read more…
March 10, 2022
Add Amazon Web Services to the growing list of companies (tech and otherwise) that are curtailing business with Russia in opposition to President Putin’s invasion of Ukraine. As reported in the New York Times and then by Amazon itself, Amazon Web Services is blocking new sign-ups from Russia and Belarus. Existing customers are not impacted. “We’ve suspended shipment of retail... Read more…
June 29, 2021
Matthias Troyer, who leads Microsoft’s quantum computing research, is on a mission, actually two missions. One is to develop practical applications for quantum computing. The other, also important, is to convince the HPC community that efforts to develop quantum computing – so frequently overhyped and off-putting... 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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