Product

About the NVIDIA cuOpt

NVIDIA cuOpt is a GPU-accelerated optimization library designed to solve complex operations research problems at scale, including Vehicle Routing Problems (VRP), Traveling Salesperson Problems (TSP), Pickup and Delivery Problems (PDP), Linear Programming (LP), and Mixed Integer Linear Programming (MILP). It leverages NVIDIA GPUs to achieve significant speedups (often 50x to 100x faster than traditional CPU-based solvers) for large-scale problems with millions of variables and constraints. cuOpt supports various real-world constraints such as time windows, vehicle capacities, and driver breaks. It is available as open-source software, as pip wheels, Conda packages, and ready-to-use containers, making it flexible for deployment across hybrid and multi-cloud environments, data centers, workstations, and PCs. It is particularly valuable for industries like logistics, supply chain, energy, manufacturing, and robotics, where real-time decision-making is critical.