Palantir’s new intelligent engine, unveiled today, demonstrates the importance of open source innovation in American AI NVIDIA Nemotron open models to meet the needs of U.S. government agencies.
Open source software has long been a pillar of U.S. technology leadership.
In 1969, DARPA connected four university computers – from UCLA, Stanford, UCSB and the University of Utah – creating the infrastructure backbone that became the Internet.
In those early days, U.S.-led open source contributions also drove leadership in programming languages, with UNIX in 1969 and C at Bell Labs in 1972. These languages led to more open source software built on these foundations, including the Linux kernel in 1991, GitHub in 2008, and Docker in 2013.
Today, open models make frontier AI widely accessible, with control over customization and trust through transparency. They give companies and government agencies the ability to test, adapt, and deploy AI in sensitive environments, making it critical to national security, business sustainability, and industrial innovation.
With domain-optimized harnesses, strong open models can deliver breakthrough capabilities while helping customers maintain control over proprietary data, model weights, and deployment environments. Today’s announcement from Palantir brings the open NVIDIA Nemotron models to air-gapped environments – secure setups that are completely isolated from unsecured networks – on NVIDIA accelerated computing.
Palantir will use open NVIDIA Nemotron models to build custom, high-quality models for the US government. Many of the government’s activities reflect private sector enterprises – including trade, energy, healthcare, agriculture, education and transportation. With about 3 million civilian employees, the U.S. government is essentially one of the largest corporations in the world.
Providing critical services across so many disciplines is incredibly complex. AI can help streamline this complexity and provide insights to increase productivity. From food safety to maintaining the safety of interstate highway infrastructure, AI can help government agencies overcome operational challenges, just like public sector companies in the US.
With this new engine, authorities and operators can run customized Nemotron models on their own infrastructure, train on their own data, and maintain full control over the resulting models – including the weights that encode their operational knowledge.
Palantir’s Sovereign AI Operating System – based on AIP, Ontology, Foundry and Apollo – manages the operational and data authorization layer for easy deployment in sensitive environments. Explicit data authorization, architecturally enforced isolation, and full auditability are already central to Palantir’s Sovereign AI Operating System.
As these tailored models are deployed in production, agencies and operators can continually improve them in their own environments using new data and feedback. This creates a Data flywheel that continuously optimizes model performance while keeping data, models and auditability under the customer’s control.
While NVIDIA Nemotron’s open models provide an adaptable and continuously learning model layer on Palantir’s Sovereign AI operating system, enterprise-grade deployments can be supported by NVIDIA AI Enterprise Software suite.
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Open models support trust, access, control and lower costs
Together, NVIDIA Nemotron’s open models and Palantir’s critical infrastructure products enable trust, accessibility, control and lower costs.
Trust through transparency: By independently reviewing open models, researchers can identify vulnerabilities, biases, and unintended behaviors that an individual organization may miss. This visibility then allows models to be refined to address these issues, thereby improving security through transparency.
Customization and control: Companies, governments and developers can modify and refine open models to better fit their use cases. Open models can be used in regulated environments, such as the financial industry, where closed models may violate data security or other privacy laws.
Lower costs promote economic development: Open models are widespread, with around two thirds of companies already using them reporting on their cost efficiency. Companies are finding that these cost savings are an important factor in building AI that can scale successfully.
The combination of NVIDIA Nemotron open models with Palantir’s critical infrastructure products – AIP, Foundry, Ontology and Apollo – strengthens U.S. technology leadership for government agencies and commercial enterprises alike. By running models on NVIDIA-based air-gapped infrastructure, data and models remain secure – and ready to support critical missions.
Find out more about NVIDIA Nemotron and the Palantir Sovereign AI operating system reference architecture with NVIDIA.
https://blogs.nvidia.com/blog/palantir-secure-ai-us-agencies-nemotron-open-models/
