Datanami
EnterpriseAI
HPCwire Japan
QCwire
HPC & AI Wall Street
Inside ComPatAI, One of LUMI’s First Projects
June 8, 2023
About a year ago, the LUMI supercomputer – a EuroHPC system based at a CSC datacenter in Kajaani, Finland – debuted in third place on the Top500 list (a pos Read more…
Engineer Uses Supercomputing to Advance Nanomedicines for Cancer
May 3, 2021
Treatment for a disease like cancer is much different from treatment for a disease like COVID-19: in the COVID case, a drug or vaccine needs to spread throughou Read more…
Argonne Supercomputer Accelerates Cancer Prediction Research
August 13, 2019
In the fight against cancer, early prediction, which drastically improves prognoses, is critical. Now, new research by a team from Northwestern University – a Read more…
Make That Dr. Watson – IBM’s AI Darling Grows Up
February 21, 2013
AI prodigy and former Jeopardy champion Watson is ready for a career in medicine. Read more…
Life Sciences in San Diego Gets Analytical
April 14, 2010
A chat with Paul Rejto, head of Computational Biology at Pfizer Oncology. 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.