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 rele …
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 N …
Catch two full days of content examining FSI through the lenses of AI, HPC, Data Management, and Quantum Computing.
October 4, 2024
Both D-Wave (NYSE: QBTS) and Rigetti (Nasdaq: RGTI) are again facing stock delisting. This is a third time for D-Wave, which issued a press release today follow Read more…
October 4, 2024
ETH Zürich recently celebrated the launch of the AI-optimized “Alps” supercomputer with a scientific symposium focused on the future possibilities of scien Read more…
September 30, 2024
Quantum technologies may still be in development, but these systems are evolving rapidly and existing prototypes are already making a big impact on science and 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…
September 3, 2024
Critics are accusing the U.S. and state governments of overreaching by including limits on compute speeds in regulations and laws, which they claim will limit i Read more…
August 27, 2024
At the Quantum World Congress (QWC) in mid-September, trapped ion quantum computing pioneer Quantinuum will unveil more about its expanding roadmap. Its current Read more…
August 23, 2024
This week, NREL's Kestrel supercomputer reached full operational status, enhancing renewable energy research with its 44 petaflops of power. NVIDIA unveiled Sto Read more…
August 20, 2024
A regulation proposed by the US government will require US citizens or permanent residents to notify the government about transactions with countries of concern 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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