May 18, 2023
If you work in scientific computing, MPI (message passing interface) is likely a part of your life. It may be hidden underneath the applications you run or you Read more…
January 19, 2023
Less than 10 months after it was announced, the Columbus-based Ohio Supercomputer Center (OSC) has debuted its Dell-built GPU cluster, “Ascend.” Designed to Read more…
January 17, 2023
Dell's enterprise computing playbook has diversified in the last year, with new additions like quantum computing and high-performance computing-as-a-service to Read more…
December 5, 2022
A universal quantum computer with a million qubits will solve a wide range of problems, but even then, offloading entire problems to a quantum circuit may not be the best use of resources. With that in mind, companies and researchers are paying more attention to the concept of quantum-circuit cutting, which breaks down large quantum circuits into smaller fragments for execution across... Read more…
November 14, 2022
Dell is creating the building blocks to assimilate quantum computers into conventional IT infrastructures as it opens datacenters to new types of accelerated co Read more…
October 27, 2022
What’s the quantum computing fuss all about? Should you jump into the game or run as fast as you can away from it? A fascinating panel with committed quantum players, IBM and Strangeworks, and traditional computing powerhouses, Dell (systems) and AMD (chips), tackled this topic at the HPC + AI on Wall Street conference held earlier this... Read more…
October 13, 2022
Dell may have inadvertently revealed that it has high-performance computing services on its roadmap for its Apex multicloud services. "If I was looking downstream I'd look for Apex versions of HPC," said Jeff Clarke, vice chairman and co-chief operating officer at Dell, in a press conference... Read more…
July 22, 2022
Amid the much-deserved fanfare for the exascale Frontier system at Oak Ridge National Laboratory (ORNL), the lab, in April, launched a much smaller, but more la 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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