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 13, 2023
MLCommons this week issued the results of its latest MLPerf Inference (v3.1) benchmark exercise. Nvidia was again the top performing accelerator, but Intel (Xeo Read more…
September 12, 2023
During a recent earnings call, Tesla CEO Elon Musk, the world's richest man, summed up the shortage of Nvidia enterprise GPUs in a few sentences. "We're us Read more…
September 1, 2023
The U.S. has put more curbs that block the sale of certain Nvidia GPUs to the Middle East, largely under fears that the technology will be accessible to China. The setback for Nvidia was revealed in the company's 10K filing with the U.S. Securities and Exchange Commission. Read more…
August 16, 2023
The default method for accelerating Deep Learning projects is increasing the size of a GPU cluster. However, the cost is increasingly prohibitive. According to� Read more…
July 12, 2023
Worldwide revenue for the public cloud services market totaled $545.8 billion in 2022, an increase of 22.9% over 2021, according to new data from the IDC Worldw Read more…
July 6, 2023
Crypto companies that loaded up on GPUs in data centers for coin mining are now investigating whether to sell or repurpose the idle hardware to the exploding ar Read more…
May 29, 2023
Nvidia launched a new Ethernet-based networking platform – the Nvidia Spectrum-X – that targets generative AI workloads. Based on tight coupling of the Nvi 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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