NVIDIA and Palantir expand sovereign AI for US government
New sovereign AI capabilities place Palantir and NVIDIA at the centre of secure public sector AI deployment.
Palantir has announced a new sovereign AI capability built on NVIDIA’s open-source Nemotron models, enabling US government agencies and critical infrastructure operators to deploy, customise and continuously improve AI models within highly secure environments.
The platform combines NVIDIA Nemotron open models with Palantir’s Sovereign AI Operating System, allowing organisations to retain full control over their data, model weights and deployment infrastructure.
The system is designed for air-gapped and highly regulated environments where sensitive information cannot be connected to external networks.
Agencies will be able to train AI models using their own operational data, retain ownership of the resulting models and continuously improve performance through internal feedback loops.
The deployment is supported by NVIDIA AI Enterprise and Palantir’s Artificial Intelligence Platform (AIP), Foundry, Ontology and Apollo platforms.
NVIDIA said the initiative reflects the growing importance of open AI models for government and enterprise development, arguing that they offer greater transparency, customisation and lower deployment costs than proprietary alternatives.
The company also highlighted the role of open models in strengthening AI adoption across sectors including defence, healthcare, energy, transportation and public administration.
Why does it matter?
The announcement reflects the growing importance of sovereign AI, as governments and operators of critical infrastructure seek to deploy advanced AI systems without relying on externally hosted services or relinquishing control over sensitive data. Open models combined with secure, self-managed infrastructure offer an alternative approach for organisations with strict security and regulatory requirements.
The partnership also highlights the strategic role of open foundation models in the evolving AI ecosystem. As competition intensifies between proprietary and open AI approaches, governments are increasingly viewing customisable, locally deployable models as critical assets for national security, digital sovereignty and public-sector modernisation.
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