Datanami
EnterpriseAI
HPCwire Japan
QCwire
HPC & AI Wall Street
ISC19 Cluster Competition: HPCC Deep Dive
July 7, 2019
The biggest benchmark the student warriors tackled during the ISC19 Student Cluster Competition was the colossal HPC Challenge. This is a collection of benchmar Read more…
Blue Waters Opts Out of TOP500
November 16, 2012
NCSA's Blue Waters system is one of the fastest supercomputers in the world, but it won't be appearing on the TOP500 list, nor will it be taking part in the HPC Challenge awards. HPCwire spoke with Project Director Bill Kramer to get the full story on this important decision. Read more…
Russia Sets Its Sights on Exascale
March 27, 2012
While much attention has focused on China's rising supercomputing prospects lately, a number of other countries, including Russia, are also quickly muscling up their HPC resources. With their eyes set on exascale, Russia is planning to invest over a billion dollars this decade to field at least one such system by 2020. Read more…
Preoccupied with Exascale
March 31, 2011
Is the HPC community too focused on the 10-year milestone? Read more…
Minding the Missing Middle
March 31, 2011
HPCC Conference speakers talk up HPC democratization. Read more…
- Click Here for More Headlines
Leading Solution Providers
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:
HPCwire Resource Library
HPCwire Product Showcase
© 2023 HPCwire. All Rights Reserved. A Tabor Communications Publication
HPCwire is a registered trademark of Tabor Communications, Inc. Use of this site is governed by our Terms of Use and Privacy Policy.
Reproduction in whole or in part in any form or medium without express written permission of Tabor Communications, Inc. is prohibited.