The Investor
10 Sep 2026, 15:53
NVIDIA and Palantir Partner to Bring Sovereign AI to Critical Supply Chains
NVIDIA and Palantir Technologies announced a new collaboration Thursday to develop a sovereign AI stack designed to optimize complex supply chains, with the technology initially being deployed across NVIDIA’s own operations.
The platform combines NVIDIA’s Nemotron open AI models with Palantir Foundry and its Artificial Intelligence Platform, or AIP. Grounded in Palantir’s Ontology, the system is designed to identify supply constraints, improve visibility and help organizations make operational decisions while maintaining control of proprietary data.
NVIDIA is using the technology to manage one of the semiconductor industry’s most complicated supply chains. The company said each Vera Rubin rack requires about 1.3 million parts, with production dependent on coordinated supplies of compute, memory, networking, power, cooling and mechanical components.
The companies plan to extend the technology beyond NVIDIA to industries including manufacturing, energy, healthcare, automotive and aerospace. Customers will be able to deploy the AI stack on-premises, in colocation facilities or in the cloud while retaining ownership and control of their models and operational data.
NVIDIA and Palantir Technologies announced a new collaboration Thursday to develop a sovereign AI stack designed to optimize complex supply chains, with the technology initially being deployed across NVIDIA’s own operations.
The platform combines NVIDIA’s Nemotron open AI models with Palantir Foundry and its Artificial Intelligence Platform, or AIP. Grounded in Palantir’s Ontology, the system is designed to identify supply constraints, improve visibility and help organizations make operational decisions while maintaining control of proprietary data.
NVIDIA is using the technology to manage one of the semiconductor industry’s most complicated supply chains. The company said each Vera Rubin rack requires about 1.3 million parts, with production dependent on coordinated supplies of compute, memory, networking, power, cooling and mechanical components.
The companies plan to extend the technology beyond NVIDIA to industries including manufacturing, energy, healthcare, automotive and aerospace. Customers will be able to deploy the AI stack on-premises, in colocation facilities or in the cloud while retaining ownership and control of their models and operational data.
