A recent article appearing in EDN (Electrical Design News) points out that on this day, September 20, 1954, the first Fortran program ran on a mainframe computer. Originally developed by IBM, For …
A new survey from the Conference Board indicates that More than half of US employees are already using generative AI tools, at least occasionally, to accomplish work-related tasks. Yet some three …
Vote for your favorite candidates in 22 categories recognizing the most outstanding individuals, organizations, products, and technologies in the industry.
September 10, 2023
The shortage of Nvidia's GPUs has customers searching for scrap heap to kickstart makeshift AI projects, and Intel is benefitting from it. Customers seeking qui Read more…
September 7, 2023
At the recent Hot Chips meeting, Intel revealed technical specifications and features for the next-generation Xeon architecture arriving in 2024. While the next Read more…
August 31, 2023
Supercomputing remains largely an on-premises affair for many reasons that include horsepower, security, and system management. Companies need more time to move Read more…
August 31, 2023
Google scientists Jeff Dean and Amin Vahdat delivered a fascinating tour of major ML hardware and software design trends in their joint Hot Chips 23 opening k Read more…
August 10, 2023
The HPC users dream is to keep stuffing GPUs into a rack mount box and make everything go faster. Some servers offer up to eight GPUs, but the standard server u 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…
June 23, 2023
There is no doubt that baseball is an obsession for millions of people. It's estimated that more than 500 million people globally label themselves as baseball Read more…
May 22, 2023
It’s not quite homeostasis, but it's close. There was little movement in the latest Top500, released today from the International Supercomputing Conference (I 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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