Nvidia’s barrage of quantum news at GTC24 this week includes new products, signature collaborations, and a new Nvidia Quantum Cloud for quantum developers. While Nvidia may not spring to mind w …
In a bold move by the number three public cloud company yesterday, Google Cloud announced it will no longer charge customers extra to move their data out of its data centers, making it the first …
January 3, 2024
What a year - two new ~1000-qubit QPUs; two public Q companies have faced delisting pressure. Seems like the same boom-bust enthusiasm cycle for quantum computi Read more…
December 7, 2023
Few markets as small as the quantum information sciences market generate as much lively discussion. Hyperion Research pegged the worldwide quantum market at $84 Read more…
November 30, 2023
In case you missed it, China’s e-commerce giant Alibaba has shut down its quantum computing research effort. It’s not entirely clear what drove the change. Read more…
November 28, 2023
Quantum computing held sway in the last few minutes of AWS senior vice president Peter DeSantis’ keynote yesterday at the AWS re:Invent 2023 conference, being Read more…
October 5, 2023
Somewhat quietly, while quantum hardware developers have been steadily improving today's early quantum computers (scale and error correction), developers of qua Read more…
August 1, 2023
Quantum computing is in the midst of the so-called NISQ era – a time of noisy intermediate scale quantum devices based a variety of qubit modalities, all of w Read more…
July 12, 2023
Worldwide revenue for the public cloud services market totaled $545.8 billion in 2022, an increase of 22.9% over 2021, according to new data from the IDC Worldw Read more…
July 11, 2023
Quantum networking – like quantum computing – holds tantalizing promise. Rather than use classical bits, quantum networks work with quantum bits (qubits) an 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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