Datanami
EnterpriseAI
HPCwire Japan
QCwire
HPC & AI Wall Street
Imagine a Beowulf Cluster of SuperNODEs …
(They did)
Clustering resources for faster performance is not new. In the early days of clustering, the Beowulf project demonstrated that high performance was achievable from commodity hardware. These days, …
The IBM-Meta AI Alliance Promotes Safe and Open AI Progress
IBM and Meta have co-launched a massive industry-academic-government alliance to shepherd AI development. The new group has united under the AI Alliance banner to promote responsible innovation i …
Announcing the 2023 Readers’ and Editors’ Choice Awards!
Check out our list of 108 illustrious winners across 22 different categories of HPC.
ChatGPT Friendly Programming Languages
(hello-world.llm)
December 4, 2023
Using OpenAI's ChatGPT to write code is an alluring goal. Describing "what to" solve, but not "how to solve" would be a huge breakthrough in computer programm Read more…
SC23: The Ethics of Supercomputing
November 29, 2023
Why should HPC practitioners care about ethics? And, what are our ethics in HPC? These questions were central to a lively discussion at the SC23 Birds-of-a-Fe Read more…
Grace Hopper’s Big Debut in AWS Cloud While Graviton4 Launches
November 29, 2023
Editors Note: Additional Coverage of the AWS-Nvidia 65 Exaflop ‘Ultra-Cluster’ and Graviton4 can be found on our sister site Datanami. Amazon Web Service Read more…
SC23 BOF: Inclusivity Progress and Challenges
November 21, 2023
New to SC23 was a series of talks on Inclusivity topics. Sponsored by the Inclusivity Committee and open to all conference attendees, these 90-minute birds-of-a Read more…
Supercomputing 2023: Odds and Ends from the Show
November 20, 2023
This year's fantastic Supercomputing 2023 was back in full form. Attendees seemed to be glad that the show was back in Denver, which was a preferred destination Read more…
HPC Hardware Contracts: Backlash as Security Ignored in Performance Pursuit
November 16, 2023
The security of supercomputers has been grossly ignored in the pursuit of horsepower. Still, there is a growing realization that security is needed to prevent b Read more…
Nvidia Wins SC23, But Gets Socked by Microsoft’s AI Chip
November 16, 2023
Nvidia was invisible with a very small booth and limited floor presence, but thanks to its sheer AI dominance, it was a winner at the Supercomputing 2023. Nv Read more…
Public and Private Sectors Team up to Solve HPC Software Problem
November 15, 2023
Software implementation in high-performance computing is getting more fragmented as organizations opt for tools in their walled garden environments. Howeve Read more…
Leading Solution Providers
Contributors
SC23 Booth Videos
 |
 |
 |
|
 |
 |
 |
|
 |
 |
 |
|
 |
 |
 |
 |
 |
 |
 |
|
 |
 |
- Click Here for More Headlines
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
-
Meet Data Center Cooling Needs with QCT’s Liquid Cooling Solution
-
Ultra-Dense Storage Server for Warm and Cold Data Needs
-
Optimized Acceleration Server for HPC/AI/DL Workloads
-
TYAN debuts new server line-up for 4th Gen AMD EPYC & AMD Ryzen Processors at SC23
-
TYAN Unveils its Robust Immersion Cooling Solution at SC23
-
SmartPlates Drive Performance and Efficiency in NVIDIA H100 GPUs
-
Dynamic Workload Scheduler: Optimize GPU Access and Economics
-
JetCool Launches Liquid Cooling Solutions for NVIDIA H100 GPUs
-
Smarter Data Made Even Faster – See Kombyne™ 2.0 @ SC23 Booth 1715
-
Accelerate Your HPC Projects at SC23 With Achronix
-
QCT x Intel DevCloud Program Expedites HPC/AI Development
-
See How QCT’s Direct-to-chip Liquid Cooling Solution Meets Data Center’s Cooling Needs
-
Software Portability in AI & ML: The Importance of Containers
-
Chartering AI-Powered HPC Horizons
© 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.