September 28, 2023
As HPCwire reported recently, the latest MLperf benchmarks are out. Not unsurprisingly, Nvidia was the leader across many categories. The HGX H100 GPU systems, which contain eight H100 GPUs, delivered the highest throughput on every MLPerf inference test in this round. Read more…
September 27, 2023
It’s been a busy week for IonQ, the quantum computing start-up focused on developing trapped-ion-based systems. At the Quantum World Congress today, the compa Read more…
September 27, 2023
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 Read more…
September 25, 2023
Scientists have unlocked many secrets about particle interactions at atomic and subatomic levels. However, one mystery that has eluded researchers is dark matte Read more…
September 21, 2023
A new set of AI-based code conversion tools is available with IBM watsonx. Before introducing the new "watsonx," let's talk about the previous generation Watson Read more…
September 20, 2023
Intel’s sprawling, optimistic vision for the future was on full display yesterday in CEO Pat Gelsinger’s opening keynote at the Intel Innovation 2023 confer Read more…
September 18, 2023
Intel used the latest MLPerf Inference (version 3.1) results as a platform to reinforce its developing “AI Everywhere” vision, which rests upon 4th gen Xeon Read more…
September 17, 2023
As reported in the South China Morning Post HPC pioneer Jack Dongarra mentioned the lack of benchmarks from recent HPC systems built by China. “It’s a we 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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