NVIDIA/cuopt-examples
cuopt-examples
NVIDIA cuOpt examples for decision optimization
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NVIDIA
NVIDIA • big-tech
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Sep 8, 2022
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README Summary
NVIDIA cuOpt examples repository provides comprehensive demonstrations of GPU-accelerated optimization solutions for vehicle routing, logistics, and supply chain problems. The examples showcase how to leverage NVIDIA's cuOpt library to solve complex decision optimization challenges with significant performance improvements over traditional CPU-based methods.
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Combinatorial OptimizationGPU-Accelerated ComputingOperations ResearchMathematical ProgrammingConstraint SatisfactionHeuristic AlgorithmsLinear ProgrammingMixed Integer Programming
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Combinatorial OptimizationGPU-Accelerated ComputingOperations ResearchMathematical ProgrammingConstraint SatisfactionHeuristic AlgorithmsLinear ProgrammingMixed Integer ProgrammingDelivery Route PlanningCloud GPU InstancesCapacity PlanningFleet ManagementTransportationResource AllocationVehicle Routing ProblemDecision IntelligenceWarehouse OperationsManufacturingLogisticsJob Shop SchedulingSupply ChainAI for OperationsGPU-Accelerated AINVIDIA DGXTabularGPU ClustersTraveling Salesman ProblemDelivery ServicesFleet OptimizationNumericalOn-premiseJupyter Notebook
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Updated 1 months ago
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beta- Quality
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Search & KnowledgePrimaryOther AI / MLData Science & AnalyticsLearning ResourcesInference & ServingAI Agents
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Jupyter Notebook100.0%
Timeline
- Project created
- Sep 8, 2022
- Forked
- Mar 14, 2026
- Your last push
- 1 months ago
- Upstream last push
- 10 days ago
- Tracked since
- Mar 13, 2026
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