Decision Optimization
Achieve world-record speed on large-scale problems with millions of constraints and variables—saving time and reducing costs.
NVIDIA® cuOpt™ is a 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.
Enjoy significant speedups over CPU LP solvers when lower-accuracy solutions are acceptable. Outperform commercial state-of-the-art VRP solvers.
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 & Homberge and Li & Lim benchmarks.
Effortlessly scale to handle computationally intensive workloads across hybrid and multi-cloud environments.
Continuously adapt to changing variables and constraints by rerunning models in near real time or batch mode for optimal decision-making.
Use out of the box or seamlessly embed into your solver for unmatched speed, scalability, and accuracy.
Accelerate time to value with the security, reliability, and enterprise-class support of NVIDIA AI Enterprise for production deployments.
Use Cases
Explore how NVIDIA cuOpt powers real-world industry use cases, and jump-start your AI development with curated examples.
Optimizing resource allocation in complex supply chains requires efficiently distributing limited resources while adapting to real-time changes. With countless variables at play, achieving maximum productivity and cost efficiency demands rapid, intelligent decision-making. NVIDIA’s cuOpt-powered AI agent enables you to talk to your supply chain data via LLM NIM™, delivering real-time, optimal resource allocation for greater operational agility and optimizing your resource allocation.
Use the right tools and technologies to take logistics optimization projects from development to production.
Kawasaki Heavy Industries, Ltd., a century-old leader in manufacturing large machinery, has enhanced its track maintenance and inspection capabilities using NVIDIA cuOpt and Jetson Orin™, driving greater efficiency and precision in operations.
Next Steps
Use the right tools and technologies to take logistics optimization projects from development to production.
Explore everything you need to start developing with NVIDIA cuOpt, including the latest documentation, tutorials, technical blogs, and more.
Talk to an NVIDIA product specialist about moving from pilot to production with the security, API stability, and support of NVIDIA AI Enterprise.