NVIDIA® cuOpt™ is an open-source, GPU-accelerated decision optimization engine that powers faster, smarter logistics routing, helping enterprises cut costs, boost revenue, and lower carbon emissions. It offers dynamic rerouting, horizontal load-balancing, and robotic simulations, with sub-second solver response times. cuOpt enables organizations to leverage the world's best accelerated optimization capabilities across multi- and hybrid cloud environments. It solves complex routing problems with multiple constraints and delivers new capabilities, empowering teams to make dynamic, data-driven decisions.
Typical Use Cases
Last Mile Delivery : Optimizes vehicle fleets to serve multiple demand points while minimizing costs, such as distance, time, or fleet size, under operational constraints. Each customer has specific demands and service requirements, while vehicles face limits on capacity, distance, emissions, and availability. Applications span manufacturing (component delivery to production lines), distribution (stocking retail stores), and e-commerce or grocery delivery (final hand-off to customers or drop-off locations).
Dispatch Optimization: Optimizes the allocation and routing of field technicians or vehicles to efficiently fulfill service requests. It balances factors like location, capacity, skillset, and priority to minimize travel time, fuel use, and costs while maintaining SLAs. The system adapts dynamically to new requests or disruptions and balances workloads to boost productivity. Essential for logistics, field services, emergency response, and other mobile operations.
Pickup and Delivery: Optimizes routes for fleets to efficiently pick up and drop off items while meeting operational constraints and service goals. Objectives include minimizing travel time, fleet size, and costs, maximizing utilization, and reducing emissions, all while maintaining SLAs and on-time performance. Both pickup and drop-off points have capacity, time window, and service constraints, while fleets are limited by load, distance, and emissions. Applicable to diverse scenarios such as food delivery, ride-hailing, retail distribution, parcel logistics, intralogistics, school transport, and waste collection.
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Architecture Type: x86/aarch64
Network Architecture: Not Applicable (N/A)
Container Version: 26.02.00
Input Format: Json data in Text or File format.
Input Parameters: Please refer to open-api specification.
Output Format: Json data in Text or File format.
Output Parameters: Please refer to open-api specification.
Runtime(s): N/A
Supported Hardware Platform(s): Please refer to requirement doc
Supported Operating System(s): Please refer to requirements doc