Skip to content

nwstephens/ASU-RTO-Ignite-AI-2025-cuOpt

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

18 Commits
 
 
 
 
 
 
 
 

Repository files navigation

Using NVIDIA cuOpt for prescriptive optimization

image

AI applications are built around technology designed to predict the next word. The focus of these apps is often on generating insights, with less attention paid to what happens next — decision making. That’s where NVIDIA cuOpt comes in. As an open-source prescriptive optimization engine, cuOpt takes AI outputs and determines the best course of action — whether it's rerouting a fleet, reassigning inventory, or rescheduling tasks. In essence, cuOpt operationalizes AI — enabling organizations to go from prediction to intelligent, optimized decisions at scale.

Demo

Blogs

Presented at RTO Ignite: AI at Arizona State University on Tuesday, July 1, 2025.

About

Using NVIDIA cuOpt for prescriptive optimization

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

 
 
 

Contributors