Datanami
EnterpriseAI
HPCwire Japan
QCwire
HPC & AI Wall Street
Give a Little (on Tuesday), Get a Lot
HPC is built on open source. While building HPC systems with "open plumbing" has enormous advantages, there can also be some challenges. As illustrated in the classic XKCD comic, the entire depe …
Material Simulation with Quantum Accuracy Wins 2023 ACM Gordon Bell Prize
Accurately calculating interactions among electrons has been a significant obstacle to reliable material exploration and design through computer modeling. Recently, a University of Michigan-led i …
Announcing the 2023 Readers’ and Editors’ Choice Awards!
Check out our list of 108 illustrious winners across 22 different categories of HPC.
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…
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…
Nvidia Showcases Domain-specific LLM for Chip Design at ICCAD
October 31, 2023
This week Nvidia released a paper demonstrating how generative AI can be used in semiconductor design. Nvidia chief scientist Bill Dally announced the new paper Read more…
AI-Accelerated Technology Investment Guidelines for HPC
October 25, 2023
When planning an AI or HPC investment, applications are where the rubber meets the road and ultimately determine the benefits of any hardware investment. In add Read more…
How AMD May Get Across the CUDA Moat
October 5, 2023
When discussing GenAI, the term "GPU" almost always enters the conversation and the topic often moves toward performance and access. Interestingly, the word "GPU" is assumed to mean "Nvidia" products. (As an aside, the popular Nvidia hardware used in GenAI are not technically... Read more…
HPC User Forum: Sustainability at TACC Points to Software
October 3, 2023
Recently, Dan Stanzione, Executive Director, TACC and Associate Vice President for Research, UT-Austin, gave a presentation on HPC sustainability at the Fall 20 Read more…
Rethinking ‘Open’ for AI
September 27, 2023
What does “open” mean in the context of AI? Must we accept hidden layers? Do copyrights and patents still hold sway? And do consumers have the right to opt Read more…
Leveraging Machine Learning in Dark Matter Research for the Aurora Exascale System
September 25, 2023
Scientists have unlocked many secrets about particle interactions at atomic and subatomic levels. However, one mystery that has eluded researchers is dark matte 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.