Palantir Brings Secure AI to US Agencies With NVIDIA Nemotron Palantir has unveiled a new intelligent engine that leverages NVIDIA’s Nemotron open models to support U.S. government agencies. This initiative underscores the role of open source innovation in advancing American AI capabilities. The collaboration aims to provide secure, customizable AI solutions for critical operations across sectors such as commerce, energy, healthcare, agriculture, education, and transportation. By integrating Nemotron models into air-gapped environments—secure systems isolated from unsecured networks—Palantir enables agencies to maintain control over proprietary data, model weights, and deployment settings while benefiting from frontier-level AI capabilities. The foundation of modern open source innovation dates back to 1969 when DARPA connected four university computers at UCLA, Stanford, UCSB, and the University of Utah, laying the groundwork for the internet. This era also saw the development of key coding languages like UNIX in 1969 and C at Bell Labs in 1972, which became cornerstones for subsequent open source advancements. These innovations paved the way for technologies such as the Linux Kernel in 1991, GitHub in 2008, and Docker in 2013. Today, open models like Nemotron are transforming AI accessibility, offering transparency, customization, and trust through open frameworks. NVIDIA’s Nemotron models are designed to deliver frontier AI capabilities while allowing users to retain control over their data and environments. Palantir’s Sovereign AI Operating System, built on AIP, Ontology, Foundry, and Apollo, manages operational and data authorization layers, ensuring secure deployment in sensitive settings.#nvidia #palantir #nemotron #us_agencies #sovereign_ai_operating_system
NVIDIA Announces NemoClaw for the OpenClaw Community NVIDIA today unveiled the NemoClaw™ stack for the OpenClaw agent platform, enabling users to install Nemotron™ models and the newly released OpenShell™ runtime with a single command. This integration enhances security and privacy, allowing autonomous AI agents—referred to as "claws"—to operate more reliably and efficiently across both cloud environments and on-premises systems, including NVIDIA RTX PCs, DGX Station, and DGX Spark AI supercomputers. Jensen Huang, founder and CEO of NVIDIA, emphasized that OpenClaw represents a transformative shift in AI accessibility, positioning it as the "operating system for personal AI." He noted that OpenClaw has become the fastest-growing open-source project in history, bridging the gap between users and AI capabilities. Peter Steinberger, creator of OpenClaw, highlighted the platform's potential to empower individuals with secure, self-evolving AI assistants, stating that NVIDIA and its ecosystem are building the tools and safeguards necessary for widespread adoption. NemoClaw leverages NVIDIA’s Agent Toolkit to streamline OpenClaw’s deployment, installing OpenShell to provide open models and an isolated sandbox environment. This setup ensures data privacy and enforces security policies, creating a foundational layer for autonomous agents to function productively while adhering to defined guardrails. The platform supports any coding agent, enabling local execution of open models like Nemotron on dedicated systems or accessing cloud-based frontier models via a privacy router. This hybrid approach allows agents to develop new skills and complete tasks within strict privacy and security boundaries. Always-on AI agents require dedicated computing resources to operate continuously.#nvidia #openclaw #jensen_huang #nemotron #dgx_station
