Route Optimization
Achieve world-record accuracy and performance to solve complex problems, save time, and reduce costs and carbon footprints.
NVIDIA® cuOpt™ optimizes operations by enabling better, faster decisions with accelerated computing. cuOpt helps teams solve complex routing problems with multiple constraints and delivers new capabilities such as dynamic rerouting, horizontal load-balancing, and robotic simulations, with subsecond solver response times. With 23 world-record benchmarks, cuOpt owns all of the world records on the largest routing benchmarks from the past three years.
cuOpt uses GPU-accelerated logistics solvers relying on heuristics, metaheuristics, and optimizations to calculate complex vehicle routing problems with a wide range of constraints. cuOpt can be deployed in any data center or cloud. With support for distance and time matrices with asymmetric patterns, it can be seamlessly integrated with popular map engines.
Rerun models and adjust for changes like inoperable vehicles, traffic and weather disruptions, and the addition of new orders—all within service-level agreement (SLA) time constraints.
Experience world-record performance, achieved across Li & Lim and Gehring & Homberger accuracy benchmarks.
Scale out to 15,000 routing tasks to facilitate computationally heavy use cases.
Route 1,000 packages in 10 seconds instead of 20 minutes (120X faster) with the same level of accuracy.
Achieve a 15 percent reduction in travel times and fuel costs, an 87 percent decrease in cloud resource costs, reductions in data center usage
Access a secure, production-ready microservice, as part of NVIDIA AI Enterprise, designed to deploy anywhere and accelerate time to value.
cuOpt—which owns all 23 world records set in the past three years on the largest routing benchmarks—is now available.
Use Cases
See how NVIDIA cuOpt supports industry use cases and jump-start your AI development with curated examples.
Fleets of trucks are dispatched from distribution centers to deliver orders to stores and end customer addresses. cuOpt reduces miles driven and accelerates delivery times with the same level of accuracy.
Use the right tools and technologies to take logistics optimization projects from development to production.
Kawasaki Heavy Industries, Ltd. is a manufacturing company that’s been building large machinery for more than a hundred years. With NVIDIA cuOpt and Jetson Orin™, Kawasaki transformed its track maintenance and inspection capabilities.
Next Steps
Use the right tools and technologies to take logistics optimization projects from development to production.
Explore everything you need to start developing with NVIDIA cuOpt, including the latest documentation, tutorials, technical blogs, and more.
Talk to an NVIDIA product specialist about moving from pilot to production with the security, API stability, and support of NVIDIA AI Enterprise.