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NVIDIA cuOpt is a GPU-accelerated optimization engine designed to solve complex mathematical optimization problems at large scale. It supports a range of optimization models including linear programming (LP), mixed integer linear programming (MILP), quadratic programming (QP), and vehicle routing problems (VRP). Built primarily in C++, cuOpt leverages NVIDIA GPUs to deliver near real-time solutions for optimization tasks involving millions of variables and constraints. The platform provides multiple interfaces, including C, Python, and server APIs, allowing developers to integrate optimization capabilities into applications and services. cuOpt is designed for high-performance environments and can be deployed across cloud, hybrid, or on-premise infrastructures. By combining GPU acceleration with scalable APIs, cuOpt enables organizations to solve large optimization challenges in logistics, operations research, and decision-making systems.
Features
- GPU-accelerated optimization engine for large-scale mathematical optimization problems.
- Supports LP, MILP, QP, and routing problems such as TSP, VRP, and pickup-and-delivery.
- Provides multiple APIs including C, Python, and server interfaces for integration.
- Capable of solving optimization problems with millions of variables and constraints.
- Designed for high-performance computing environments using CUDA-enabled GPUs.
- Deployable in cloud, hybrid, or on-premise infrastructures for scalable optimization workloads.
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