Datanami
EnterpriseAI
HPCwire Japan
QCwire
HPC & AI Wall Street
What’s Stirring in Nvidia’s R&D Lab? Chief Scientist Bill Dally Provides a Peek
In what’s become a regular GPU Technology Conference feature, Bill Dally, Nvidia chief scientist and SVP of research, provides a glimpse into how Nvidia organizes R&D and what are a few of …
Cost-effective Fork of GPT-3 Released to Scientists
Researchers looking to create a foundation for a ChatGPT-style application now have an affordable way to do so. Cerebras is releasing open-source learning models for researchers with the ingredie …
HPCwire’s 2023 People to Watch
Find out which 12 HPC luminaries are being recognized this year for driving innovation within their particular fields.
Sorry, but nothing matches what you're looking for. Please try again with some different keywords.
SC22 Booth Videos
 |
 |
 |
 |
 |
 |
 |
 |
 |
 |
 |
 |
 |
 |
 |
 |
 |
 |
 |
 |
- Click Here for More Headlines
Whitepaper
Streamlining AI Data Management
Five Recommendations to Optimize Data Pipelines
When building AI systems at scale, managing the flow of data can make or break a business. The various stages of the AI data pipeline pose unique challenges that can disrupt or misdirect the flow of data, ultimately impacting the effectiveness of AI storage and systems.
With so many applications and diverse requirements for data types, management systems, workloads, and compliance regulations, these challenges are only amplified. Without a clear, continuous flow of data throughout the AI data lifecycle, AI models can perform poorly or even dangerously.
To ensure your AI systems are optimized, follow these five essential steps to eliminate bottlenecks and maximize efficiency.
Download Now
Sponsored by DDN
Whitepaper
Taking research further with extraordinary compute power and efficiency
Karlsruhe Institute of Technology (KIT) is an elite public research university located in Karlsruhe, Germany and is engaged in a broad range of disciplines in natural sciences, engineering, economics, humanities, and social sciences. For institutions like KIT, HPC has become indispensable to cutting-edge research in these areas.
KIT’s HoreKa supercomputer supports hundreds of research initiatives including a project aimed at predicting when the Earth’s ozone layer will be fully healed. With HoreKa, projects like these can process larger amounts of data enabling researchers to deepen their understanding of highly complex natural processes.
Read this case study to learn how KIT implemented their supercomputer powered by Lenovo ThinkSystem servers, featuring Lenovo Neptune™ liquid cooling technology, to attain higher performance while reducing power consumption.
Download Now
Sponsored by Lenovo
Advanced Scale Career Development & Workforce Enhancement Center
Featured Advanced Scale Jobs:
HPCwire Resource Library
-
Whitepaper: Reducing Bias and Increasing Accuracy in AI Models
-
Whitepaper: A New Standard in CAE Solutions for Manufacturing
-
Whitepaper: Porting CUDA Applications to Run on AMD GPUs
-
Whitepaper: QCT HPC BeeGFS Storage: A Performance Environment for I/O Intensive Workloads
-
Webcasts and webinars: Leveraging Exascale Era Technology for Advanced Computer-Aided Engineering
-
Whitepaper: Data Center File System
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.