Decision Optimization

NVIDIA cuOpt

Achieve world-record accuracy and performance to handle large-scale problems with millions of constraints and variables, save time, and reduce costs.

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Introduction
Benefits
Use Cases
Starting Options
Customer Stories
Resources
Next Steps

Introduction

Introduction
Benefits
Use Cases
Starting Options
Customer Stories
Resources
Next Steps

Get Started

Overview

What Is NVIDIA cuOpt?

NVIDIA® cuOpt™ is a groundbreaking optimization AI microservice excelling in fast decision optimization, including linear programming and mixed integer linear programming heuristics and VRP (Vehicle Routing Problems). It handles large-scale problems with millions of variables and constraints, enabling near real-time optimization, potentially saving millions of dollars. With 23 world-record benchmarks, cuOpt owns all of the recent world records on the largest routing benchmarks. It also accelerates state-of-the-art CPU linear programming techniques on Mittelmann’s benchmark, solving large-scale optimization problems with millions of variables and constraints.

NVIDIA cuOpt—Now Available

cuOpt—a groundbreaking optimization AI microservice excelling in decision optimization—is now available.

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Operational Research, Logistics, and Route Optimization

cuOpt uses GPU-accelerated logistics solvers relying on heuristics, metaheuristics, and optimizations to calculate complex vehicle routing problems with a wide range of constraints. cuOpt can be deployed in any data center or cloud. With support for distance and time matrices with asymmetric patterns, it can be seamlessly integrated with popular map engines.

Benefits

Explore the Benefits of NVIDIA cuOpt

GPU-Accelerated Speedup

Faster on 60% of the Mittelmann LPOpt instances and more than 10X faster on 20% when compared to commercial SOTA.

Consistent speedups of 8X ~ 5,607X on multi-commodity flow problems.

World-Record Accuracy

Experience world-record performance, achieved across Li & Lim and Gehring & Homberger accuracy benchmarks.

Scale Seamlessly

Scale out to 15,000 routing tasks to facilitate computationally heavy use cases.

Real-Time Analytics

Route 1,000 packages in 10 seconds instead of 20 minutes (120X faster) with the same level of accuracy.

Dynamic Rerouting

Rerun models and adjust for changes like inoperable vehicles, traffic and weather disruptions, and the addition of new orders—all within service-level agreement (SLA) time constraints.

Enterprise-Grade AI

Access a secure, production-ready microservice, as part of NVIDIA AI Enterprise, designed to deploy anywhere and accelerate time to value.

Use Cases

How cuOpt Is Being Used

See how NVIDIA cuOpt supports industry use cases and jump-start your AI development with curated examples.

Supply Chain Management

Resource allocation in complex supply chains involves efficiently distributing limited resources across tasks to maximize productivity and minimize costs. The challenge lies in numerous variables and real-time changes, necessitating rapid, optimal solutions to maintain operational agility. cuOpt AI agent allows you to talk to your supply chain data via LLM NIM and optimize your resource allocation.

See How cuOpt Can Be Used for Supply Chain Optimization

Pick-up path optimization within a warehouse from receiving dock to shipping dock

Job Scheduling Optimization

Challenges in job scheduling optimization lie in maximizing productivity and minimizing idle time across complex systems with varying constraints. This process requires adapting to dynamic workloads and unexpected changes while maintaining overall system efficiency. With GPU acceleration, cuOpt enables businesses to make data-driven job scheduling decisions, optimizing for factors like deadlines, priorities, and resource availability.

Portfolio Optimization

Asset allocation in finance involves distributing investment capital across securities to optimize portfolio performance. The challenge lies in balancing risk and return objectives while considering market volatility, economic indicators, and investor preferences. Complexity arises from numerous potential combinations and the need for swift adaptation to changing market conditions.

Dynamically routing and rerouting robots for efficient truck loading

Last-Mile Delivery

Fleets of trucks are dispatched from distribution centers to deliver orders to stores and end customer addresses. cuOpt reduces miles driven and accelerates delivery times with the same level of accuracy.

NVIDIA cuOpt reduces miles driven and accelerates delivery times

Field Dispatch

A service provider is dispatched to fulfill a list of different service requests. These are allocated a certain amount of time per service request and the time can vary according to request. For example, a telecommunications technician is assigned to a customer’s home to install a router and then to a different home to install a data cable. cuOpt enables technicians to be equipped with all required tools before departure and complete the tasks based on optimized routes.

Read How AT&T Supercharges Operations With AI

Read How Kawasaki Is Reinventing Manufacturing With cuOpt

Fleet Management

For the inbound and outbound transportation of goods and vehicles with long-haul fleets, it’s critical to optimize scheduling and route planning. cuOpt allows users to factor in the number of available pilots, drivers, or ships to recommend the most optimized route and schedule.

Starting Options

Ways to Get Started With NVIDIA cuOpt

Use the right tools and technologies to take logistics optimization projects from development to production.

Try

Experience cuOpt through a UI-based portal for exploring and prototyping with NVIDIA-managed endpoints, available for free through NVIDIA's API catalog.

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Experience

Access NVIDIA-hosted infrastructure and guided hands-on labs that include step-by-step instructions and examples, available for free on NVIDIA LaunchPad.

Access Hands-On Lab

Deploy

Get a free license to try NVIDIA AI Enterprise in production for 90 days using your existing infrastructure.

Request a 90-Day License

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Customer Stories

How Industry Leaders Are Driving Innovation With cuOpt

Reinventing Manufacturing Operations With NVIDIA cuOpt and Jetson Orin

Kawasaki Heavy Industries, Ltd. is a manufacturing company that’s been building large machinery for more than a hundred years. With NVIDIA cuOpt and Jetson Orin™, Kawasaki transformed its track maintenance and inspection capabilities.

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Resources

The Latest in NVIDIA cuOpt Resources

Blogs
Sessions
Training
Videos

September 11, 2024

NVIDIA and Oracle to Accelerate AI and Data Processing for Enterprises

Enterprises are looking for increasingly powerful compute to support their AI workloads and accelerate data processing. The efficiency gained can translate to better returns for their investments in AI training and fine-tuning, and improved user experiences for AI inference. At the Oracle CloudWorld conference today, Oracle Cloud Infrastructure (OCI) announced the first zettascale OCI Supercluster, Read Article

March 18, 2024

All Aboard: NVIDIA Scores 23 World Records for Route Optimization

With nearly two dozen world records to its name, NVIDIA cuOpt now holds the top spot for 100% of the largest routing benchmarks in the last three years. And this means the route optimization engine allows industries to hop on board for all kinds of cost-saving efficiencies. Kawasaki Heavy Industries and SyncTwin are among the Read Article

March 18, 2024

Staying in Sync: NVIDIA Combines Digital Twins With Real-Time AI for Industrial Automation

Real-time AI is helping with the heavy lifting in manufacturing, factory logistics and robotics. In such industries — often involving bulky products, expensive equipment, cobot environments and logistically complex facilities — a simulation-first approach is ushering in the next phase of automation. NVIDIA founder and CEO Jensen Huang today demonstrated in his GTC keynote how Read Article

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Enroll for Optimized Routing Online Course

Optimized Vehicle Routing Course

In this self-paced course from the NVIDIA Deep Learning Institute, you’ll work through a common vehicle routing optimization problem and learn how to preprocess input data for use by cuOpt, composing variants of the problem that reflect real-world business constraints.

Enroll Now

Optimize routes for a fleet of vehicles with the NVIDIA cuOpt Cloud Service.

Route Optimization LaunchPad Lab

Have an accelerated optimization project? Get access to the route optimization workflow with a free curated lab in NVIDIA LaunchPad, which includes a step-by-step guide and ready-to-use software, sample data, and applications.

Apply Now

Use a Route Optimization Cloud Service to Drive Efficiency and Cost Savings

In this hands-on lab, learn how to use the NVIDIA cuOpt cloud service to find the most optimal routes for a heterogeneous fleet of vehicles making deliveries, pickups, dispatching jobs, and more.

Watch On-Demand Session

Expedite Delivery Operations with NVIDIA cuOpt

World Record Route Optimization With NVIDIA cuOpt

Find out how organizations are driving greater efficiency, saving money, and boosting revenue and customer satisfaction with real-time route optimization.

Watch Now

Reinvent logistics management with cuOpt

Fusing Real-Time AI With Digital Twins

Learn how, with NVIDIA Metropolis, Omniverse™, cuOpt, and Isaac™ for robot perception, it’s possible to create an end-to-end strategy for fully automating logistically complex co-bot spaces.

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Talk to Your Supply Chain Data Using NVIDIA NIM

Watch how organizations can overcome operations complexities and deliver AI factories at extraordinary scale with an AI planner built with LLM NIMs, NVIDIA NeMo Retriever NIMs, and a cuOpt NIM.

Watch Now

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Next Steps

Ready to Get Started?

Use the right tools and technologies to take logistics optimization projects from development to production.

Get Started

For Developers

Explore everything you need to start developing with NVIDIA cuOpt, including the latest documentation, tutorials, technical blogs, and more.

Start Developing

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.