NVIDIA-Palantir Supply Chain AI

NVIDIA and Palantir Technologies are teaming up on a sovereign AI platform for complex supply chains, with the first deployment running inside NVIDIA’s own operations. The companies are combining NVIDIA Nemotron open models with Palantir Foundry, its Artificial Intelligence Platform (AIP) and Ontology software.

For eeNews Europe readers, the project is significant because it shows how enterprise AI is moving closer to factory, infrastructure and supply-chain decision making. It also highlights growing demand for AI systems that can keep proprietary industrial data under an organization’s control.

AI tackles NVIDIA supply chain complexity

NVIDIA operates a supply chain spanning millions of parts, thousands of suppliers and manufacturing partners around the world. Each NVIDIA Vera Rubin rack alone contains around 1.3 million parts, requiring coordination across compute, memory, networking, power, cooling and mechanical systems.

The new AI stack is designed to help NVIDIA identify bottlenecks earlier, assess alternative supply scenarios and improve materials allocation. The aim is to speed the journey from semiconductor wafer production through to operating AI infrastructure — described by the companies as going from “wafer to token.”

“NVIDIA has arguably the most valuable, intricate and complex supply chain in the world. Our sovereign stack, powered by Nemotron models and Ontology, is delivering capabilities that exceed the frontier while providing alpha protection qualities unavailable otherwise,” said Alex Karp, cofounder and CEO of Palantir Technologies. “We are very proud of our partnership and its cornerstone role in the sovereign AI revolution.”

“Supply chains are the operating system of the physical economy, and AI factories are among the most complex systems ever built,” said Jensen Huang, founder and CEO of NVIDIA. “From wafers and components to manufacturing, systems and customer delivery, hundreds of companies and trillions of dollars of global economic activity come together to deliver AI infrastructure. NVIDIA and Palantir are transforming this vast operational graph into sovereign intelligence — combining NVIDIA Nemotron models with Palantir’s Ontology to reason, plan and orchestrate the journey from wafer to token.”

Custom models for enterprise decisions

Palantir customers will be able to post-train Nemotron models using their own operational data in Foundry and AIP. NVIDIA cuOpt software will support optimization and scenario planning, allowing users to model supply constraints, compare tradeoffs and assess the production impact of allocation decisions.

The system also uses NVIDIA NeMo Data Libraries, NeMo AutoModel and NeMo RL alongside Palantir Autopilot to create a feedback loop in which operational results can be used to improve specialized models over time.

Sovereign deployment options

The companies plan to extend the approach into sectors including manufacturing, energy, healthcare, automotive and aerospace.

Deployments can run on-premises, in colocation facilities or in the cloud using the jointly developed Palantir Sovereign AI Operating System Reference Architecture. The architecture is supported by infrastructure partners including Dell Technologies and Cisco, with Rackspace and Nebius among the options for hosted deployments.

That flexibility is intended to let enterprises run AI close to sensitive operational data while retaining control over models, deployment environments and proprietary information.