Use the right tools and technologies to take logistics optimization projects from development to production.
Features |
Try NVIDIA
|
Experience NVIDIA
|
Deploy NVIDIA
|
---|---|---|---|
NVIDIA® cuOpt™ microservice
|
|||
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:
|
|||
"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. |
---|---|---|---|
NVIDIA® cuOpt™ microservice
|
|||
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:
|
|||
The NVIDIA cuOpt API provides world record-breaking operations optimization enabling better decisions with accelerated computing. Compute the most efficient plan, instantaneously, at scale. cuOpt delivers faster results compared to traditional solutions, enabling organizations to reduce miles driven and carbon emission, accelerate delivery times without sacrificing quality, reduce costs, enable more jobs per dispatch, and re-optimize in real time.
There are two ways users can try cuOpt.
Check out this technical blog to learn more.
NVIDIA’s route optimization AI workflow helps developers address the vehicle routing problem (VRP), optimizing for cost, time, and dynamic constraints. Discover the possibilities of our AI workflow for free in NVIDIA Launchpad.
Companies that deploy a large fleet of vehicles require support processes that allow them to perform at the highest efficiency and quickly adapt to uncertainty. The route optimization workflow is a packaged solution for increasing efficiency, cost effectiveness, and the capability to adapt to dynamic constraints.
AI workflows accelerate the path to AI applications. NVIDIA's route optimization AI workflow provides a reference for practitioners, engineers, and scientists to get started building solutions that address the vehicle routing problem (VRP).
NVIDIA demonstrated how an AI planner, an agent built on NVIDIA NIM™, can enable business operations teams to chat with their supply chain data so that they can manufacture and deliver products at extraordinary scale. The AI planner use case example was built using a large language model (LLM) NIM to understand planners’ intentions and direct the other models, a NVIDIA NeMo™ Retriever RAG NIM to connect the LLM to proprietary data, and cuOpt for logistics optimization.
cuOpt is available as part of NVIDIA AI Enterprise. The full pricing and licensing details can be found here.
NVIDIA LaunchPad is a universal proving ground, offering expansive testing of the latest NVIDIA enterprise hardware and software. This dynamic platform expedites short-term trials, facilitates long-term proofs of concept (POCs), and fuels the accelerated development of both managed services and standalone solutions.
Users can initiate their AI journey with a prescriptive development environment tailored to their needs. Or, they can explore a vast catalog of hands-on labs designed to offer immersive experiences across a spectrum of use cases, from AI and data science to 3D design and infrastructure optimization. Enterprises gain easy access to the latest accelerated hardware and software stacks deployed on private hosted infrastructure.
NVIDIA API catalog provides production-ready generative AI models and continually-optimized inference runtime, packaged up as microservices that can be easily deployed with standardized tools on any GPU-accelerated system.
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.
Contact an NVIDIA AI Enterprise Sales Representative by filling out this form.