Palantir Launches Engine for Deploying NVIDIA Nemotron Open Models in Sovereign Environments

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Palantir and NVIDIA Team to Enable U.S. Government's Own Model Improvement and Operational Control of Mission-Critical AI Work MIAMI, June 29, 2026--(BUSINESS WIRE)--Palantir Technologies Inc. (NASDAQ: PLTR) today announced a strategic initiative with NVIDIA to deliver an intelligent engine for running NVIDIA AI and Nemotron open models in sovereign environments, with a focus on United States government agencies and U.S. critical infrastructure, where open models are essential for national security, corporate sustainability, and industrial innovation. NVIDIA's AI platform (compute, ecosystem, and open models) and Palantir's critical infrastructure products (AIP, Ontology, Foundry, and Apollo) provide an intelligent engine for training and deploying open models alongside proprietary technology used for America's most critical government agencies and commercial companies. Combined with Palantir's domain-optimized harnesses, NVIDIA Nemotron open models deliver frontier capabilities for specialized workloads while enabling organizations to retain control of their data, intellectual property, and AI systems. Key capabilities of the offering include explicit data authorization, secure perimeter enforcement, architecturally-enforced customer-specific isolation, data portability, right to erasure, and full auditability. Using open source Nemotron models with Palantir AIP, Ontology, Foundry, and Apollo offers customers trust, accessibility, control and lower costs. Customers will own self-improving models specific to their mission. The intelligent engine collects and stores user telemetry and trace data, then uses that data to post-train and align the model to areas where AI can add the most value. With this feedback loop, the model continually improves at supporting specific operational tasks. Government agencies and critical U.S. companies can employ the NVIDIA-Palantir joint offering to retain sovereignty over their AI systems, giving them the ability to control and adapt open models, especially in regulated domains. This joint effort brings together:

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