Nvidia takes another shot at trying to get to mobile devices
Long before the current situation of Nvidia's GPUs holding AI hostage, the company tried to put its chips in mobile devices but fai …
What does “open” mean in the context of AI? Must we accept hidden layers? Do copyrights and patents still hold sway? And do consumers have the right to opt out of data collection? These are t …
Vote for your favorite candidates in 22 categories recognizing the most outstanding individuals, organizations, products, and technologies in the industry.
September 14, 2023
To make SC even more accessible for relevant HPC researchers and technologists with innovative software or hardware, discoveries, or exciting technical content, Read more…
August 24, 2023
Several weeks ago, we reported on the DOWNFALL and INCEPTION security issues occurring in both Intel and AMD processors. Here is a short recap for those who mis Read more…
August 24, 2023
The launch of ChatGPT and similar generative AI technologies is reshaping the skills required in the workplace, according to a new report from LinkedIn. “The Read more…
August 9, 2023
Hot on the heels of proposing AVX-512 vector optimizations as away to squeeze more cycles out of CPUs a new AVX vulnerability was announced by Intel. The new ex Read more…
August 8, 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…
August 8, 2023
The TACC’s Frontera Computational Science Fellowship awardees for 2022-2023 came to close in May. Recently TACC welcomed the 2023-2024 Frontera Computational Read more…
August 7, 2023
The HPC Innovation Excellence Awards recognize noteworthy achievements by users of high performance computing (HPC), which includes simulation, AI and other adv Read more…
August 7, 2023
Editors Note: Users often ask "What separates HPC from AI, they both do a lot of number crunching?" While this statement is true, one big difference is the prec Read more…
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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