Achieve world-record speed on large-scale problems with millions of constraints and variables—saving time and reducing costs. NVIDIA® cuOpt™ is an open-source, GPU-accelerated solver for decision optimization, excelling in mixed-integer linear programming (MILP), linear programming (LP), and vehicle routing problems (VRPs).
Vendor
NVIDIA
Company Website
NVIDIA® cuOpt™ is an open-source, GPU-accelerated solver for decision optimization, excelling in mixed-integer linear programming (MILP), linear programming (LP), and vehicle routing problems (VRPs). Designed to tackle large-scale problems with millions of variables and constraints, cuOpt enables near-real-time optimization, driving significant cost savings. With a record on the mixed-integer programming library (MIPLIB) and 23 world records in routing benchmarks, cuOpt delivers breakthrough performance in solving complex real-life optimization problems.
Features
- GPU-Powered Speedup: Enjoy significant speedups over CPU LP solvers when lower-accuracy solutions are acceptable. Outperform commercial state-of-the-art VRP solvers.
- World-Record Solutions: Achieve a world-record solution validated on an MIPLIB open problem, competitive performance on large LPs demonstrated by the Mittelmann benchmarks, and unmatched precision for VRP, validated by the Gehring & Homberger and Li & Lim benchmarks.
- Seamless Scalability: Effortlessly scale across hybrid and multi-cloud environments—while accelerating existing AMPL, CVXPY, PuLP, Pyomo, and SciPy models with zero-code integration.
- Dynamic and Batch Optimization: Continuously adapt to changing variables and constraints by rerunning models in near real-time or batch mode for optimal decision-making.
- Stand-Alone or Integrated: Use out of the box or seamlessly embed into your solver for unmatched speed, scalability, and accuracy.
- Enterprise-Grade AI: Accelerate time to value with the security, reliability, and enterprise-class support of NVIDIA AI Enterprise for production deployments.
Benefits
- Enhanced Performance: Achieve significant speedups and world-record solutions for complex optimization problems.
- Cost Efficiency: Drive significant cost savings through near-real-time optimization and efficient resource utilization.
- Scalability: Effortlessly scale across hybrid and multi-cloud environments, integrating with existing models.
- Flexibility: Adapt to changing variables and constraints dynamically, ensuring optimal decision-making.
- Enterprise Support: Benefit from enterprise-grade AI support for secure and reliable production deployments.