Solutions: AI Workflows
Route Optimization
Address the vehicle routing problem by optimizing for cost and time with dynamic constraints.
What Is Route Optimization?
Companies that deploy large fleets of vehicles require support processes that allow them to perform at the highest efficiency and quickly adapt to uncertainty. Route optimization determines the optimal set of routes for vehicle fleets to deliver to a given set of customers. The NVIDIA route optimization AI workflow is a packaged solution for increasing efficiency, cost-effectiveness, and the capability to adapt in near real time to dynamic constraints.
Explore the Route Optimization AI Workflow
The route optimization AI workflow demonstrates how to use NVIDIA cuOpt™ to minimize vehicle routing inefficiencies by finding the most optimal route for a fleet of vehicles making deliveries, pickups, dispatching jobs, etc.
This workflow contains:
- A packaged, cloud-native NVIDIA cuOpt solver pipeline
- A reference solution for deploying in production, including components for authentication, logging, and monitoring
- Helm charts, Jupyter Notebooks, and sample Python code
NVIDIA cuOpt server integration with third-party APIs for route mapping and visualization.
Start Your Route Optimization Journey on NVIDIA LaunchPad
Have an accelerated optimization project? Get access to the route optimization workflow with a free curated lab. Access a step-by-step guided lab with ready-to-use software, sample data, and applications.
Key Benefits of the Route Optimization AI Workflow
Accelerate the Development of AI Solutions
AI workflows accelerate the path to AI outcomes. The route optimization AI workflow provides a reference for developers to get started in building a route optimization AI solution.
