GPU-accelerated AI algorithms for operations research continue to improve, offering developers near real-time optimization and world record-breaking efficiency on some of the most complex operations. Learn how cuOpt has evolved from a GPU accelerated library to an AI cloud API, enabling recent …

Join AI experts to learn how to use the NVIDIA cuOpt cloud service to minimize vehicle routing inefficiencies by finding the most optimal routes for a heterogeneous fleet of vehicles making deliveries, pickups, dispatching jobs, and more. Bring your laptop to get access to the latest NVIDIA …

GPU-accelerated AI algorithms for operations research continue to improve, offering developers near real-time optimization with the world’s best accuracy on the largest datasets for an ever-expanding array of use cases. We'll discuss recent advances in accelerated routing with NVIDIA cuOpt, including …

The goal of the vehicle routing problem (VRP) is to identify an optimal set of routes for a fleet of vehicles visiting multiple delivery locations. The changing economic and geopolitical scenario has made last-mile delivery one of the most challenging and expensive tasks of the logistics fulfillment cycle. In…

We'll present work from an ongoing collaboration between BMW, ipolog, and NVIDIA showing how digital twins and accelerated combinatorial optimization can lead to 20% reduction in the required number of transport vehicles. With the help of ipolog, NVIDIA cuOpt, and Omniverse, BMW can …