CAREER: Efficient Scheduling for Machine Learning Training and Inference via the Gittins I — NSF Award to Cornell University (NY,
Artificial Intelligence (AI) is becoming increasingly ubiquitous, but with that ubiquity comes a sharp increase in data center energy consumption. This project will develop new algorithms that enable highly efficient training and deployment of AI models, contributing to the United States' strategic advantage in AI capa
| Award title | CAREER: Efficient Scheduling for Machine Learning Training and Inference via the Gittins I |
|---|---|
| Award ID | 2544452 |
| Awardee | Cornell University |
| City | ITHACA |
| State | NY |
| Amount obligated | $451,594 |
| Principal investigator | Ziv Scully |
| Program | Comm & Information Foundations |
| Start date | 04/15/2026 |
| Abstract | Artificial Intelligence (AI) is becoming increasingly ubiquitous, but with that ubiquity comes a sharp increase in data center energy consumption. This project will develop new algorithms that enable highly efficient training and deployment of AI models, contributing to the United States' strategic advantage in AI capabilities. On the training side, the new algorithms will make smarter decisions about how to explore the vast design space of possible AI models, discovering higher-quality models w |
| Source | NSF Awards |
$799/mo
Try NSFGrants →