May 1, 2023
A new report from Los Alamos National Lab sounds alarms over the declining number of Fortran programmers, the shrinking number of efforts to teach Fortran, and Read more…
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…
May 30, 2022
In March, Nvidia unveiled its two new Grace Superchips: the Grace CPU Superchip, aimed at datacenters, comprises dual Arm-based Grace CPU chips; the Grace Hopper Superchip, meanwhile, combines a Grace CPU with a Hopper GPU in a single SoC. Now, at ISC 2022... 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…
February 25, 2022
The Covid-19 pandemic has brought into sharp relief how small elements of a virus can play a crucial role in combating it with therapeutic drugs and vaccines. I Read more…
October 9, 2021
X chromosome inactivation equalizes the active X chromosomes between mammals with two X chromosomes and mammals with one X and one Y chromosome – however, the 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…
Making the Most of Today’s Cloud-First Approach to Running HPC and AI Workloads With Penguin Scyld Cloud Central™
Bursting to cloud has long been used to complement on-premises HPC capacity to meet variable compute demands. But in today’s age of cloud, many workloads start on the cloud with little IT or corporate oversight. What is needed is a way to operationalize the use of these cloud resources so that users get the compute power they need when they need it, but with constraints that take costs and the efficient use of existing compute power into account. Download this special report to learn more about this topic.
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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