EU Grabs ARM for First ExaFLOP Supercomputer, x86 Misses Out

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…

Q&A with Terri Quinn, an HPCwire Person to Watch in 2023

June 16, 2023

HPCwire 2023 Person to Watch Terri Quinn is the deputy associate director for high-performance computing at Lawrence Livermore National Laboratory (LLNL). Quinn has been with LLNL for nearly 40 years, starting as a software engineer in 1984 after a few years as a nuclear engineer in the U.S. Navy Reserve. Read more…

Cerebras Chip Part of Project to Spot Post-exascale Technology

October 19, 2022

Cerebras Systems has secured another U.S. government win for its wafer scale engine chip – which is considered the largest chip in the world. The company's chip technology will be part of a research project sponsored by the National Nuclear Security Administration to find... Read more…

Supercomputer Models Explosives Critical for Nuclear Weapons

August 6, 2022

Lawrence Livermore National Laboratory (LLNL) is one of the laboratories that operates under the auspices of the National Nuclear Security Administration (NNSA), which manages the United States’ stockpile of nuclear weapons. Amid major efforts to modernize that stockpile, LLNL has announced that researchers from its own Energetic Materials Center... Read more…

AMD’s MI300 APUs to Power Exascale El Capitan Supercomputer

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…

At GTC22, HPC and AI Get Edgy

March 30, 2022

From weather sensors and autonomous vehicles to electric grid monitoring and cloud gaming, the world’s edge computing is getting increasingly complex — but the world of HPC hasn’t necessarily caught up to these rapid innovations at the edge. At a panel at Nvidia’s virtual GTC22 (“HPC, AI, and the Edge”), five experts discussed how leading-edge HPC applications... Read more…

NNSA Selects Dell for $40M CTS-2 Commodity Computing Contract

September 28, 2021

In support of the Department of Energy’s National Nuclear Security Administration (NNSA), the Tri-Lab CTS-2 system contract award was announced last week. The NNSA TriLab partnership – comprising Livermore, Los Alamos and Sandia national labs – awarded Dell Technologies... Read more…

Winter Classic Cluster Competition: Meet the First Five

March 11, 2021

Through the magic of video and Zoom, we've reached out to five Winter Classic Invitational cluster competition teams for our trademark up close and personal interviews. Our associate Jessi Lanum has given us Cliff Notes for each interview, along with some teasers, but check out the videos to get... Read more…

  • arrow
  • Click Here for More Headlines
  • arrow

Whitepaper

Penguin Computing Scyld Cloud Central™: A New Cloud-First Approach to HPC and AI Workloads

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.

Download Now

Sponsored by Penguin Solutions

Whitepaper

QCT POD- An Adaptive Converged Platform for HPC and AI

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.

Download Now

Sponsored by QCT

Advanced Scale Career Development & Workforce Enhancement Center

Featured Advanced Scale Jobs:

SUBSCRIBE for monthly job listings and articles on HPC careers.

HPCwire Resource Library

HPCwire Product Showcase

Subscribe to the Monthly
Technology Product Showcase:

HPCwire