July 2, 2024
Trapped ion quantum computing specialist Quantinuum and University of Colorado (Boulder) researchers reported yesterday they had implemented nonlocal qLDPC code Read more…
May 9, 2023
Today is a good day for trapped ion quantum computer developer Quantinuum. The young company launched its newest system – System Model H2 – with 32 qubits c Read more…
March 1, 2023
In this monthly feature, we’ll keep you up-to-date on the latest career developments for individuals in the high-performance computing community. Whether it� Read more…
February 23, 2023
Quantinuum, a pioneer in ion trap quantum computing, today reported setting two performance records in quick succession, with its H1-1 system achieving a quantu Read more…
July 12, 2022
GPU and accelerated-computing powerhouse Nvidia today announced a new programming platform – NVIDIA Quantum Optimized Device Architecture (QODA) – targeting development and management of applications run on hybrid classical-quantum systems. QODA joins cuQuantum, Nvidia’s quantum simulation SDK for use on GPU-accelerated systems. Unlike cuQuantum... Read more…
June 14, 2022
Quantinuum today announced a significant upgrade to its ion trap quantum computer, H1-1, which now has 20 qubits – up from 12 qubits – and features all-to-a Read more…
March 17, 2022
At yesterday’s Quantum in Industry session at the APS March Meeting 2022, Google, IBM, Intel, Quantinuum, and Silicon Quantum Computing/University of South Wales (USW) presented progress points and ongoing challenges in the race to achieve practical quantum computing. While IBM has proclaimed 2023 to be the year it achieves quantum advantage, the other... Read more…
December 7, 2021
Quantinuum – the newly-named company resulting from the merger of Honeywell’s quantum computing division and UK-based Cambridge Quantum – today launched Quantum Origin, a service to deliver “completely unpredictable cryptographic keys” based... 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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