https://github.com/nvidia/cuopt-resources

A collection of NVIDIA cuOpt samples and other resources
https://github.com/nvidia/cuopt-resources

cvrp cvrptw gpu gpu-acceleration gpu-optimization intralogistics last-mile-delivery logistics nvidia-gpu operations-research optimization optimization-algorithms optimization-tools pickup-and-delivery route-optimization traveling-salesman-problem tsp-solver vehicle-routing-problem vrp vrp-solver

Last synced: 15 days ago
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A collection of NVIDIA cuOpt samples and other resources

• Host: GitHub
• URL: https://github.com/nvidia/cuopt-resources
• Owner: NVIDIA
• License: other
• Created: 2022-09-08T21:52:36.000Z (about 2 years ago)
• Default Branch: branch-22.12
• Last Pushed: 2024-04-15T21:45:58.000Z (7 months ago)
• Last Synced: 2024-04-17T02:19:19.556Z (7 months ago)
• Topics: cvrp, cvrptw, gpu, gpu-acceleration, gpu-optimization, intralogistics, last-mile-delivery, logistics, nvidia-gpu, operations-research, optimization, optimization-algorithms, optimization-tools, pickup-and-delivery, route-optimization, traveling-salesman-problem, tsp-solver, vehicle-routing-problem, vrp, vrp-solver
• Language: Jupyter Notebook
• Homepage:
• Size: 4.41 MB
• Stars: 125
• Watchers: 12
• Forks: 22
• Open Issues: 6
• Metadata Files:
  • Readme: README.md
  • License: LICENSE.md

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README

        
# cuOpt Resources

NVIDIA cuOpt is an accelerated Operations Research optimization API to help developers create complex, real-time fleet routing workflows on NVIDIA GPUs.

This repository contains a collection of resources demonstrating use of NVIDIA cuOpt via Python SDK and service APIs. 

The cuOpt-Resources repository is under [MIT License](LICENSE.md)

Use of NVIDIA cuOpt is subject to the [End User License Agreement](https://docs.nvidia.com/cuopt/NVIDIA_cuOpt_EULA.pdf)

## [NVIDIA cuOpt](https://developer.nvidia.com/cuopt-logistics-optimization)

cuOpt uses highly optimized GPU-accelerated solvers relying on heuristics, metaheuristics, and optimization. In addition to providing dramatically accelerated, world class solutions to some of the most difficult optimization problems, NVIDIA cuOpt prioritizes ease of use through high level Python SDK and service APIs

 [cuOpt Docs](https://docs.nvidia.com/cuopt/overview.html)

## Contents

* NVIDIA cuOpt Python SDK example notebooks

  * [Routing Optimization](notebooks/routing/python)





* NVIDIA cuOpt service example notebooks

  * [Routing Optimization](notebooks/routing/microservice) 





* NVIDIA cuOpt in Omniverse Isaac Sim

  * [cuOpt in Simulation](cuopt-isaacsim/) 

# Try NVIDIA cuOpt

- [NVIDIA cuOpt Launchpad Lab](https://www.nvidia.com/en-us/launchpad/ai/get-started-with-cuopt/)

- [NVIDIA cuOpt DLI Course](https://courses.nvidia.com/courses/course-v1:DLI+T-FX-05+V1/)