When AI plans the plan: NVIDIA’s Edelman story

Published: April 7, 2026

NVIDIA GeForce chip and printed circuit board PCB

Each year, organizations from around the world demonstrate how advanced analytics and operations research are solving real problems at massive scale – and are recognized and celebrated by the INFORMS community with the Franz Edelman Award competition.

Joining me today are members of the team from NVIDIA, a global leader in accelerated computing and artificial intelligence.

As companies grow and their products evolve, the demand–supply networks that support them often become incredibly complex. To stay ahead of this complexity and remain responsive in fast-moving markets, organizations need smarter and more adaptive supply chain management systems.

To tackle this challenge, NVIDIA developed an AI-powered planning platform designed to maintain stability, responsiveness, and agility across their global supply chain. The platform brings together a full stack of advanced technologies, all working together to support intelligent supply chain planning at scale.

Today, we’ll hear more about how this powerful combination of AI and optimization is transforming supply chain decision-making.

I hope that they take away that AI is the ultimate equalizer and augmentation tool. Real AI isn't just statistical forecasting. It is training an engine with vast knowledge to reason and solve complex physical constraints. We've proven that mathematical optimization can be democratized so that anyone can use it to build smarter, more resilient supply chain networks. And the best part is we've open sourced a co-op agent so developers can turn natural language into powerful optimization models. Run them on NVIDIA Co-Opt and build their own agentic optimization workflows starting from a supply chain use case and expand to so much more.

Interviewed this episode:

Anthony Noguera, NVIDIA; Shweta Singh, NVIDIA

Nvidia – NVIDIA AI infrastructure has enabled a new generation of computational intelligence from modern artificial intelligence to mathematical optimization — including complex supply chain optimization. As a company’s products and services evolve, its demand–supply network (DSN) often grows in scale and complexity. To stay ahead of this growth and enhance responsiveness, firms need smarter, more adaptive supply chain management (SCM) solutions. NVIDIA met this challenge by developing an AI planner—an intelligent SCM platform designed to maintain stability, responsiveness and agility at scale. The platform is powered by a full stack of technologies including the NVIDIA NeMo Agent Toolkit; NVIDIA Llama Nemotron Super 49B state-of-the-art reasoning model, NVIDIA NIM microservices, in-context learning with a NVIDIA Nemotron embedding model, and a GPU-accelerated, award-winning open source decision optimization engine—NVIDIA cuOpt—optimized for NVIDIA’s high-performance computing platforms.