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NREL’s Kestrel Supercomputer Begins to Land
April 10, 2023
About a year and a half ago, HPE announced that it had been selected to build the next supercomputer for the DOE’s National Renewable Energy Laboratory (NREL) Read more…
Eyeing Nvidia’s Omniverse for Fusion Reactor Design
March 25, 2022
With climate change accelerating and fossil fuel supplies proving increasingly contentious, ensuring a secure supply of clean energy is top-of-mind for many res Read more…
What’s New in HPC Research: Solar Power, ExaWorks, Optane & More
September 16, 2021
In this regular feature, HPCwire highlights newly published research in the high-performance computing community and related domains. From parallel programming Read more…
UK’s New Extreme Scale Computing Center to Advance Fusion Energy
August 19, 2021
As the world barrels toward a dark climate future, many people’s hopes increasingly rest with major technological breakthroughs – including, perhaps most fa Read more…
Supercomputing Helps Advance Hydrogen Energy Research
June 16, 2021
Hydrogen energy has long remained an elusive target of the renewable energy industry, promising clean, carbon-free energy that would allow for rapid refueling, Read more…
What’s New in HPC Research: Underwater Robots, Cervical Cancer, Renewable Energy & More
October 15, 2020
In this bimonthly feature, HPCwire highlights newly published research in the high-performance computing community and related domains. From parallel programmin Read more…
New GE Simulations on Summit to Advance Offshore Wind Power
August 6, 2020
The wind energy sector is a frequent user of high-power simulations, with researchers aiming to optimize wind flows and energy production from the massive turbi Read more…
ExaWind: Preparing Wind Energy Simulations for Multi-turbine Exascale Era
April 8, 2020
According to the American Wind Energy Association, wind energy in the U.S. has more than tripled over the last ten years, making it the largest renewable energy Read more…
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Whitepaper
QCT QoolRack: An Optimized Liquid Cooling Solution for HPC/AI Workloads
Data center infrastructure running AI and HPC workloads requires powerful microprocessor chips and the use of CPUs, GPUs, and acceleration chips to carry out compute intensive tasks. AI and HPC processing generate excessive heat which results in higher data center power consumption and additional data center costs.
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