November 14, 2023
In 2021, Intel famously declared its goal to get to zettascale supercomputing by 2027, or scaling today's Exascale computers by 1,000 times. Moving forward t Read more…
October 4, 2023
The configuration of Europe's first exascale supercomputer, Jupiter, has been finalized, and it is a win for Nvidia and a disappointment for x86 chip vendors In Read more…
May 2, 2023
Today, AMD reported its financial results for Q1 2023. The headline: revenues ($5.4 billion) are down by 9.2% year-over-year, just barely beating expectations a Read more…
February 21, 2023
If a zettascale computer were assembled using today's supercomputing technologies, it would consume about 21 gigawatts, or equivalent to the energy produced by 21 nuclear power plants. The math was presented in a keynote speech by AMD CEO Lisa Su at the ISSCC trade show being held in San Francisco held this week. A zettaflop supercomputer would have the computing capability... Read more…
January 5, 2023
At the tail end of AMD’s 75-minute CES keynote, held yesterday in Las Vegas and via livestream, CEO Lisa Su shared new details of the forthcoming MI300 chip and publicly unveiled the silicon. The MI300 (teased earlier this year) is the first to combine a CPU, GPU and memory into a single integrated design, incorporating nine 5nm chiplets that are 3D stacked on top of four 6nm chiplets with 128 gigabytes of HBM3 memory. Read more…
June 21, 2022
Additional details of the architecture of the exascale El Capitan supercomputer were disclosed today by Lawrence Livermore National Laboratory’s (LLNL) Terri Read more…
March 2, 2022
High-performance computing, or supercomputing, combined with new data-science approaches such as machine learning and artificial intelligence (AI) give scientis Read more…
October 21, 2021
When it’s (ostensibly) ready in early 2023, El Capitan is expected to deliver in excess of two exaflops of peak computing power – around four times the powe 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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