About
NVIDIA® cuOpt™ is a GPU-accelerated optimization engine that excels in linear programming (LP), quadratic programming (QP), and vehicle routing problems (VRP), with support for quadratically constrained quadratic programming (QCQP) (beta), second-order cone programming (SOCP) (beta), and mixed integer programming (MIP) (beta). cuOpt enables near real-time solutions for large-scale LPs with millions of variables and constraints and offers easy integration into existing modeling languages with seamless deployment across hybrid and multi-cloud environments.
Open Source Health
- Stars
- 1,038
- Forks
- 227
- License
- Apache-2.0
- Last commit
- 28 days ago
Cuda
Alternatives to cuOpt
Or Toolsby GoogleGoogle's Operations Research tools:- Incubator Kie Optaplanner Quickstartsby ApacheOptaPlanner quick starts for AI optimization: many use cases shown in many different technologies.
- OptiGuideby MicrosoftGenAI for Optimization and Decision Intelligence
Nvbenchby NVIDIACUDA Kernel Benchmarking Library
OSMOby NVIDIAThe developer-first platform for scaling complex Physical AI workloads across heterogeneous compute—unifying training GPUs, simulation clusters, and edge devices in a simple YAML
Resources & Links
Related Categories
Using cuOpt?
Track its cost next to the rest of your stack and get a reminder before it renews.
Add to my stackVendor
NVIDIA
Publisher of DALI (NVIDIA Data Loading Library) and Tensorrt