November 23, 2022
With SC22 in the rearview mirror, it’s time to get back to the 2022 Great American Supercomputing Road Trip. To refresh everyone’s memory, I jumped in the c Read more…
October 22, 2022
When complete, the Crossroads supercomputer at Los Alamos National Laboratory (LANL) is expected to deliver quadruple the performance of LANL’s already-powerful Trinity supercomputer (20.16 Linpack petaflops). Now, the first phase of Crossroads – called “Tycho” – has been successfully installed at the lab, with the... Read more…
March 17, 2022
In late 2020, Los Alamos National Laboratory (LANL) — which operates under the Department of Energy’s National Nuclear Security Administration (NNSA) — co Read more…
April 5, 2021
Tape storage has dominated high-volume data storage for many decades, and with data production continuing to grow exponentially, researchers are eager to find a Read more…
December 17, 2020
Los Alamos National Laboratory (LANL), which operates under the purview of the National Nuclear Security Administration (NNSA), is home to a variety of supercom Read more…
December 8, 2020
Well before COVID-19 struck New Mexico, New Mexico was striking COVID-19. Los Alamos National Laboratory (LANL) began its research on COVID-19 in late January, Read more…
October 7, 2020
Short coherence times currently limit the size of problems that can be addressed on today’s so-called Noisy Intermediate-Scale Quantum (NISQ) computers. Resea Read more…
April 23, 2019
Simulating large biomolecules has long been challenging. Now, researchers from Los Alamos National Laboratory (LANL), RIKEN Center for Computational Science in 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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