February 27, 2024
In November 2023, Aurora was ranked #2 on the Top 500 list. That ranking was with half of Aurora running the HPL benchmark. It seems after much delay, 2024 will Read more…
November 13, 2023
A US national lab has started training a massive AI brain that could ultimately become the must-have computing resource for scientific researchers. Argonne N Read more…
November 13, 2023
The fall 2023 TOP500 list is out and Frontier retains its top spot and is still the only exascale machine. However, five new or upgraded systems have shaken up Read more…
October 25, 2023
When planning an AI or HPC investment, applications are where the rubber meets the road and ultimately determine the benefits of any hardware investment. In add Read more…
September 15, 2022
Two and a half years later, much of the world has settled into an uneasy routine with Covid-19 thanks to a host of highly effective vaccines and a handful of ef Read more…
August 9, 2022
Argonne National Laboratory has made its newest supercomputer, Polaris, available for scientific research. The system, which ranked 14th on the most recent Top500 list, is serving as a testbed for the exascale Aurora system slated for delivery in the coming months. The HPE-built Polaris system (pictured in the header) consists of 560 nodes... Read more…
August 3, 2022
When an aircraft goes supersonic, the boundary layer of the “separation bubble” along the aircraft’s surface can be disrupted by the impact of the resulting sonic boom — and if that happens, there are significant performance losses. At Argonne National Laboratory, researchers are using supercomputing to study this shock/boundary-layer... Read more…
May 13, 2022
The lack of large-scale energy storage bottlenecks many sources of renewable energy, such as sunlight-reliant solar power and unpredictable wind power. Researchers from Lawrence Livermore National Laboratory (LLNL) are working on changing that, leveraging an allocation on Argonne National Laboratory’s Theta supercomputer to better understand the dynamics of ion transport that are at the core... Read more…
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.
Divergent Technologies developed a digital production system that can revolutionize automotive and industrial scale manufacturing. Divergent uses new manufacturing solutions and their Divergent Adaptive Production System (DAPS™) software to make vehicle manufacturing more efficient, less costly and decrease manufacturing waste by replacing existing design and production processes.
Divergent initially used on-premises workstations to run HPC simulations but faced challenges because their workstations could not achieve fast enough simulation times. Divergent also needed to free staff from managing the HPC system, CAE integration and IT update tasks.
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