Decision Optimization
NVIDIA cuOpt
Achieve world-record speed on large-scale problems with millions of constraints and variables—saving time and reducing costs.
Overview
What Is NVIDIA cuOpt?
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.
Benefits
Explore the Benefits of NVIDIA cuOpt
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 to handle computationally intensive workloads across hybrid and multi-cloud environments.
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.
Use Cases
How cuOpt Is Being Used
Explore how NVIDIA cuOpt powers real-world industry use cases, and jump-start your AI development with curated examples.
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Supply Chain Management
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Fleet Management
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Last-Mile Delivery
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Field Dispatch
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Job Scheduling Optimization
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Portfolio Optimization
Supply Chain Management
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.
Fleet Management
Efficient scheduling and route planning are essential for managing inbound and outbound transportation of goods and vehicles, especially for long-haul fleets.
NVIDIA cuOpt, integrated with Omniverse™ Digital Twins, optimizes logistics by simulating real-world fleet operations in a virtual environment, enabling dynamic scheduling, route optimization, and predictive planning. By factoring in the availability of pilots, drivers, and ships, cuOpt enhances decision-making with real-time insights, reducing transit times, improving resource utilization, and enhancing overall operational efficiency.
Last-Mile Delivery
Efficiently dispatching truck fleets from distribution centers to retail stores and end customers is critical for minimizing costs and meeting delivery expectations. NVIDIA cuOpt optimizes route planning in real time, reducing miles driven, cutting delivery time, and lowering fuel consumption—ultimately decreasing operational costs and reducing pollution for more sustainable last-mile logistics.
Field Dispatch
Effective field dispatch ensures service providers complete scheduled tasks efficiently while accounting for varying job durations and logistical challenges. For example, a telecommunications technician may need to install a router at one location and set up a data cable at another—each requiring different tools, time, and travel routes.
NVIDIA cuOpt optimizes route planning and scheduling, ensuring technicians are fully prepared before departure and follow the most efficient route. This minimizes travel time, maximizes productivity, and enhances service quality, leading to improved customer satisfaction.
Job Scheduling Optimization
Job scheduling is the process of assigning tasks or jobs to available resources—such as machines, workers, or networks—over time to optimize a specific objective, such as minimizing costs and delays, or maximizing efficiency and throughput.
With GPU acceleration, NVIDIA cuOpt enables businesses to make data-driven scheduling decisions, improving operational efficiency and responsiveness in fast-changing environments.
Portfolio Optimization
Effective stock allocation in finance requires strategically distributed investment capital across securities while balancing risk, return, and market dynamics. Investors must navigate volatility, economic indicators, and individual preferences, making real-time adjustments to optimize portfolio performance. The challenge lies in evaluating countless possible combinations and rapidly adapting to shifting market conditions to maintain a competitive edge.
Starting Options
Ways to Get Started With NVIDIA cuOpt
Use the right tools and technologies to take logistics optimization projects from development to production.
Customer Stories
How Industry Leaders Are Innovating With cuOpt
Reinventing Manufacturing Operations With NVIDIA cuOpt and Jetson Orin
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.
Adopters
Leading Adopters Across All Industries
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Customers
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Partners
Resources
The Latest in NVIDIA cuOpt Resources
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Blogs
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Sessions
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Training
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Videos
Next Steps
Ready to Get Started?
Use the right tools and technologies to take logistics optimization projects from development to production.
For Developers
Explore everything you need to start developing with NVIDIA cuOpt, including the latest documentation, tutorials, technical blogs, and more.
Get in Touch
Talk to an NVIDIA product specialist about moving from pilot to production with the security, API stability, and support of NVIDIA AI Enterprise.
Domino’s Pizza
Vehicle Routing at Domino’s: Exploring a GPU-Enabled Approach
Domino’s Pizza delivers thousands of pizzas a day and requires real-time planning and logistics capabilities. Domino’s has implemented a real-time planning system that fits its strict requirements and delivers sub-second runtimes for its use case.
Kawasaki
Reinventing Maintenance Operations With cuOpt and Jetson Orin
Kawasaki Heavy Industries, Ltd. (Kawasaki) is a manufacturing company that’s been building large machinery for more than a hundred years. With NVIDIA cuOpt and NVIDIA Jetson™ Orin, Kawasaki partnered with Slalom, Inc. to transform its track maintenance and inspection capabilities.
Shell
Shell Optimizes Energy Markets With AI-Powered Simulations
Shell is integrating NVIDIA cuOpt to batch optimizations across multiple simulations, addressing unpredictable control issues in power and gas markets. Now, Shell has the ability to make competitive bids, while simultaneously reducing costs and improving efficiency in energy infrastructure; this innovation supports the global transition to lower-carbon energy.
AMPL
AMPL Accelerates Electricity Market Optimization With NVIDIA cuOpt
AMPL, an industry-leading modeling system built specifically for large-scale optimization, has seamlessly integrated NVIDIA cuOpt to revolutionize optimization. By harnessing GPU-accelerated computing, AMPL has reduced problem-solving times from 2 minutes to just 2-3 seconds, significantly enhancing efficiency, scalability, and real-time decision-making in performance-critical energy applications.
Blue Yonder
Blue Yonder Accelerates Last-Mile Delivery With cuOpt
Blue Yonder is transforming supply chain planning and management with AI-powered solutions. Accelerated by NVIDIA cuOpt, its end-to-end supply chain solution platform optimizes last-mile delivery, enabling thousands of deliveries daily across hundreds of vehicles with greater efficiency.
Deloitte
Deloitte Unveils Suite of AI Service Offerings Built on NVIDIA Platforms
Deloitte Compass AI, powered by NVIDIA cuOpt, revolutionizes fleet routing and dispatch optimization by embedding AI directly into workflows. By rapidly processing data and simulating scenarios in seconds, Compass AI enables organizations to reduce costs, improve delivery speed, and enhance customer satisfaction. Announced alongside Deloitte recognition as NVIDIA Consulting Partner of the Year, Compass AI exemplifies cutting-edge AI-driven logistics solutions.
EY
Revolutionize Supply Chain Analytics With AI and Accelerated Computing
EY Supply Chain & Operations Platform (SC&OP) leverages NVIDIA cuOpt and NIM-powered AI agents to optimize supply chain decision-making in seconds instead of hours. By integrating advanced solvers (Heuristics, MIP, LP), SC&OP orchestrates logistics, manufacturing, and sourcing with AI-driven precision—boosting efficiency, agility, and resilience while driving measurable EBITDA improvements.
Lyric
AI-Driven Decision Intelligence for the Modern Supply Chain
Lyric is the first enterprise AI platform for supply chain decision intelligence, empowering organizations to design, plan, and operate with unprecedented agility. By integrating data, algorithms, workflows, and user experiences, Lyric delivers dynamic, AI-driven solutions.
As an NVIDIA partner, Lyric leverages NVIDIA cuOpt to accelerate distribution optimization for major consumer packaged goods (CPG) companies, cutting routing times from 4 hours to just 2 minutes—a 120X speedup—while improving solution quality by 200 basis points. Lyric and NVIDIA cuOpt continue to expand GPU acceleration in supply chain decision-making, boosting efficiency, resilience, and competitive edge at scale.
Microsoft
Enhancing Logistics With Azure Maps and NVIDIA cuOpt for Multi-Itinerary Optimization
At its core, effective route optimization requires reliable inputs to estimate travel times and the ability to apply key constraints such as driver availability, service duration, operating hours, demand, and capacity. In the solution, Azure Maps supplies the essential routing data, while NVIDIA cuOpt processes these constraints to deliver optimized, real-time scheduling and logistics efficiency.
SimpleRose
Turbocharging Prescriptive Analytics and Optimization With GPU Acceleration
As industries face increasing demands in logistics, scheduling, and portfolio management, traditional optimization approaches struggle to scale efficiently. SimpleRose integrates NVIDIA cuOpt to accelerate linear programming (LP) and mixed-integer linear programming (MILP), delivering significant speedups without compromising accuracy.
Slalom
Reinventing Maintenance Operations With cuOpt and Jetson Orin
Slalom, Inc. partnered with Kawasaki Heavy Industries, Ltd. to transform track maintenance and inspection using NVIDIA cuOpt and NVIDIA Jetson™ Orin. With over a century of experience in manufacturing large machinery, Kawasaki leveraged Slalom’s experience to enhance operational efficiency in maintenance processes.