NVIDIA cuOpt
Reach world-record performance and precision to manage complex issues with millions of variables and limits, save time, and cut expenses.
What is NVIDIA cuOpt ?
NVIDIA cuOpt is a cutting-edge AI microservice for optimisation that excels at making quick decisions using heuristics for mixed integer linear programming, linear programming, and vehicle routing problems (VRP). Near real-time optimisation is made possible by its ability to tackle large-scale issues with millions of variables and constraints, possibly saving millions of dollars. NVIDIA cuOpt has all of the most recent world records on the biggest routing benchmarks, with 23 world-record benchmarks. Additionally, it solves large-scale optimisation issues with millions of variables and constraints by speeding up cutting-edge CPU linear programming techniques on Mittelmann’s test.
Discover the Advantages of NVIDIA cuOpt
Accelerated Speedup using GPU
Compared to commercial SOTA, it is quicker on 60% of Mittelmann LPOpt instances and more than 10X faster on 20%. 8X to 5,607X speedups on multi-commodity flow issues are consistent.
Scale Fluidly
Expand to 15,000 routing jobs to support use scenarios that require a lot of processing.
Adaptive Rerouting
Within service-level agreement (SLA) time limits, rerun models and account for variables such as in operable cars, traffic and weather interruptions, and the inclusion of new orders.
Accuracy of World Records
Experience record-breaking performance across Gehring & Homberger and Li & Lim accuracy criteria.
Analytics in Real Time
With the same degree of precision, route 1,000 parcels in 10 seconds as opposed to 20 minutes (a 120X speedup).
High-End AI
As part of NVIDIA AI Enterprise, you can access a production-ready, secure microservice that can be deployed anywhere and speed up time to value.
Use cases
The Use of cuOpt in Practice Start your AI development with well chosen examples and see how NVIDIA cuOpt helps industrial use cases.
Management of the Supply Chain
In complicated supply chains, resource allocation is the process of effectively allocating scarce resources across activities in order to reduce expenses and increase productivity. Numerous variables and real-time changes provide a problem that calls for quick, ideal responses in order to preserve operational agility. You may optimise your resource allocation by communicating with your supply chain data through Large Language Model (LLM) NIM using a cuOpt AI agent.
Optimisation of Job Scheduling
Optimising work scheduling presents challenges in minimising idle time and increasing production across intricate systems with different limitations. This procedure necessitates adjusting to fluctuating workloads and unforeseen modifications while preserving system effectiveness. Businesses can make data-driven decisions about project scheduling using cuOpt’s GPU acceleration, accounting for variables like resource availability, deadlines, and priorities.
Optimisation of Portfolios
In finance, stock allocation is the process of allocating investment funds among assets in order to maximise portfolio performance. The difficulty is in striking a balance between risk and return goals while taking investor preferences, market volatility, and economic data into account. The requirement for quick response to shifting market conditions and the large number of possible combinations lead to complexity.
Delivery via Last Mile
Distribution centres send out fleets of vehicles to distribute goods to retail locations and final client addresses. With the same degree of precision, cuOpt speeds up delivery times and lowers the number of kilometres driven.
Dispatch in the Field
A service provider is sent out to complete a variety of service requests. Each service request is given a specific length of time, albeit the duration may change depending on the request. For instance, a telecom technician could be sent to one customer’s house to install a router before going to another to install a data line. Technicians may finish jobs based on optimized routes and be prepared with all necessary gear before to departure with NVIDIA cuOpt.
Management of the Fleet
Scheduling and route planning must be optimised for the incoming and outgoing transportation of cars and products with long-haul fleets. To suggest the most efficient route and timetable, cuOpt enables customers to account for the quantity of pilots, drivers, or ships that are available.
Beginning Choices
How to Begin Using NVIDIA cuOpt
Take logistics optimisation projects from conception to manufacturing with the appropriate tools and technology.
Try
Explore and prototype with NVIDIA-managed endpoints using cuOpt, a UI-based gateway that is free to use through NVIDIA’s API catalogue.
Experience
Use the free NVIDIA LaunchPad to access NVIDIA-hosted infrastructure and guided hands-on labs with detailed instructions and examples.
Install
Get a free license to use your current infrastructure to test NVIDIA AI Enterprise in production for ninety days.
Are You All Set to Begin?
Take logistics optimisation projects from conception to manufacturing with the appropriate tools and technology.
