Nvidia Delivering New Options for MLPerf and HPC Performance

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…

IonQ Announces 2 New Quantum Systems; Suggests Quantum Advantage is Nearing

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…

Rethinking ‘Open’ for AI

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…

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Leveraging Machine Learning in Dark Matter Research for the Aurora Exascale System 

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…

Watsonx Brings AI Visibility to Banking Systems

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…

Intel’s Gelsinger Lays Out Vision and Map at Innovation 2023 Conference

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…

Intel Showcases ‘AI Everywhere’ Strategy in MLPerf Inferencing v3.1

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…

China’s Quiet Journey into Exascale Computing

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…

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Whitepaper

QCT QoolRack: An Optimized Liquid Cooling Solution for HPC/AI Workloads

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.

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