Use the right tools and technologies to efficiently take decision optimization projects from development to production.
Features |
Try NVIDIA API Catalog |
Develop GitHub |
Deploy NVIDIA AI Enterprise |
NVIDIA cuOpt microservice | |||
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Scale | |||
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100M constraints 100M variables 2B non-zeros in the constraint matrix |
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1–5M constraints 1–5M variables | ||
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Up to 1,000 locations | Up to 10,000–15,000 locations | Up to 10,000–15,000 locations |
AI workflow for route optimization | |||
Workload and infrastructure management features | |||
Business-standard support, including: | |||
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"Features" |
TryNVIDIA API CatalogFor individuals looking to experience cuOpt with sample data via API and UI-based demos for free. |
ExperienceNVIDIA LaunchPadFor enterprises looking to try cuOpt before purchasing for production. |
DeployNVIDIA AI EnterpriseFor enterprises looking to try cuOpt before purchasing for production. |
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NVIDIA® cuOpt™ microservice
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Scale | Up to 1,000 locations | Up to 10,000~15,000 locations | Up to 10,000~15,000 locations |
AI workflow for route optimization | |||
Workload and infrastructure management features | |||
Business-standard support, including:
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The NVIDIA cuOpt is a GPU-optimized API for decision optimization, delivering world-record-breaking speed and efficiency. It enables organizations to compute the most optimal plans near real time and at scale, outperforming traditional vehicle routing problems (VRP) solutions and matching the performance of mixed-integer linear programming (MILP) / linear programming (LP) solvers.
With cuOpt, businesses can:
There are a few ways users can try cuOpt.
The NVIDIA API catalog provides production-ready generative AI models and an optimized inference runtime, continuously enhanced for peak performance. Delivered as microservices, these models can be easily deployed on any GPU-accelerated system using standard tools.
NVIDIA cuOpt GitHub is a resource hub providing examples, documentation, and tools to help developers leverage NVIDIA cuOpt, a GPU-accelerated AI solver for decision optimization. cuOpt will be available as open-source software at Github, allowing developers to access the latest features, build from source, and customize it for maximum flexibility.
NVIDIA AI Enterprise is an end-to-end, cloud-native software platform that accelerates data science pipelines and streamlines development and deployment of production-grade AI applications, including generative AI, computer vision, speech AI, and more. It includes best-in-class development tools, frameworks, pretrained models, and microservices for AI practitioners and reliable management capabilities for IT professionals to ensure performance, API stability, and security.
By balancing risk and return, mixed-integer programming (MIP) drives portfolio optimization and risk management.
Mixed-integer programming and linear programming revolutionize logistics by managing inventory and production schedules more efficiently. NVIDIA has demonstrated how an AI planner—an agent built with NVIDIA NIM™—empowers business operations teams to chat with their supply chain data—enabling large-scale manufacturing and delivery with unprecedented efficiency. The AI planner use case example leverages:
cuOpt will be available as an open-source solution. For production deployments, NVIDIA AI Enterprise offers enhanced security, reliability, and accelerated time-to-value, along with enterprise-class support. The full pricing and licensing details can be found here.
Fill out this form to be contacted by an NVIDIA Sales Representative.