Editors Note: Additional Coverage of the AWS-Nvidia 65 Exaflop ‘Ultra-Cluster’ and Graviton4 can be found on our sister site Datanami.
Amazon Web Services will soon be home to a new Nvidia …
This year's fantastic Supercomputing 2023 was back in full form. Attendees seemed to be glad that the show was back in Denver, which was a preferred destination over last year's show in Dallas.
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Check out our list of 108 illustrious winners across 22 different categories of HPC.
November 16, 2023
Nvidia was invisible with a very small booth and limited floor presence, but thanks to its sheer AI dominance, it was a winner at the Supercomputing 2023. Nv 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
Supercomputing enthusiasts are speed demons, so it made sense for Nvidia to discuss its 2024 computing products at Supercomputing 2023. Nvidia's next-gener Read more…
November 10, 2023
Price, sufficient performance, and availability has become Intel’s mantra in the AI chip supply wars. Intel’s Gaudi2 accelerator and 4th gen Xeon CPU both p Read more…
October 31, 2023
This week Nvidia released a paper demonstrating how generative AI can be used in semiconductor design. Nvidia chief scientist Bill Dally announced the new paper Read more…
October 30, 2023
Nvidia, this month, unexpectedly released an updated GPU roadmap with new products every year. The new GPUs for 2024-2026 came despite customers lining u 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…
October 24, 2023
The strain on data centers to deliver generative AI answers is mounting, and Lenovo is reverting to a server-client approach to offload some of that computing s Read more…
Making the Most of Today’s Cloud-First Approach to Running HPC and AI Workloads With Penguin Scyld Cloud Central™
Bursting to cloud has long been used to complement on-premises HPC capacity to meet variable compute demands. But in today’s age of cloud, many workloads start on the cloud with little IT or corporate oversight. What is needed is a way to operationalize the use of these cloud resources so that users get the compute power they need when they need it, but with constraints that take costs and the efficient use of existing compute power into account. Download this special report to learn more about this topic.
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.
Data centers traditionally use air cooling solutions including heatsinks and fans that may not be able to reduce energy consumption while maintaining infrastructure performance for AI and HPC workloads. Liquid cooled systems will be increasingly replacing air cooled solutions for data centers running HPC and AI workloads to meet heat and performance needs.
QCT worked with Intel to develop the QCT QoolRack, a rack-level direct-to-chip cooling solution which meets data center needs with impressive cooling power savings per rack over air cooled solutions, and reduces data centers’ carbon footprint with QCT QoolRack smart management.
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