“AI factories are among the most complex systems ever built”: Nvidia and Palantir turn Nvidia’s supply chain into a proving ground for sovereign AI

Nvidia and Palantir have announced a collaboration to bring sovereign AI to critical supply chains, starting with Nvidia's own expansive supply chain. This follows a partnership launched last October, where Nvidia's AI computing and models were combined with Palantir's software to help companies leverage AI for complex operational decisions.

In June, the effort was expanded to sovereign AI, enabling organizations to run and customize Nvidia's AI models within controlled environments while maintaining control over sensitive data and model weights. Now, Nvidia and Palantir are taking this further by using the technology within Nvidia's own supply chain. They have refined Nvidia's 30-billion-parameter Nemotron 3.5 Lightning model on decisions made by Nvidia's supply-chain operations team.

Palantir's Foundry and Artificial Intelligence Platform (AIP) platform integrate the data that drives these decisions, while its Ontology functions as a live map connecting components, factories, capacity, and production commitments. Nvidia's cuOpt software optimizes part distribution when scarce, and Nemotron considers the broader context to recommend actions for planners.

The companies plan to extend the lessons learned from Nvidia's deployment to other sectors like manufacturing, energy, healthcare, automotive, and aerospace. Palantir's customers will be able to build customized versions tailored to their own supply chains by training Nemotron on proprietary data using Foundry and AIP, then running the system on-premises or via cloud and colocation providers.

As the world's most valuable public company with a $4 trillion market cap, Nvidia's supply chain, comprising millions of parts, thousands of suppliers, and a global network of manufacturing partners, presents an ideal proving ground for sovereign AI. Nvidia's supply chain complexity, which Huang, the company's founder and CEO, describes as the "operating system of the physical economy," makes it a natural target for AI deployment.