Palantir today announced a new intelligent engine built with Nvidia AI and NeMotron open models.
Designed for U.S. government agencies and critical infrastructure operators, the offering enables organizations to deploy, customize and continuously improve frontier AI in air-gapped and other sensitive environments while retaining control of their data and models.
Nvidia also announced its first deal ever with Anthropic, and it also teamed up with Firefly Aerospace to take Nvidia tech into space.
On the Palantir deal, the companies said providing critical services across the many disciplines served by U.S. agencies — including commerce, energy, healthcare, agriculture, education and transportation — is incredibly complex. From food safety, medical services, energy to interstate highways, AI can help government agencies tackle operational challenges, just like American public sector businesses.
Open foundation models are increasingly important for national security, corporate sustainability and industrial innovation. Paired with domain-optimized harnesses, they can deliver frontier capabilities while preserving the adaptability, transparency and control needed for broad deployment. Nvidia NeMotron provides Palantir with the foundation to build and deploy AI tailored to their specific needs while maintaining ownership and control.
In addition, Anthropic announced Claude models are generally available in Microsoft Foundry on Azure, running on Nvidia GB300 NVL72 systems.
This is bigger than another model availability update. It is Anthropic’s first deployment on Nvidia hardware, marking a major shift in how one of the world’s leading frontier AI companies can scale Claude for enterprise and agentic AI workloads. Anthropic has been growing fast this year and it has hit a valuation of $965 billion based on an recent funding round.
Nvidia said Ultra.Claude is now running on Nvidia as demand grows for reliable, high-performance inference. And it said GB300 is built for high-throughput, efficient inference at frontier scale, which matters as AI moves from chat to advanced agents.
Firefly Aerospace also said its next lunar mission is set to carry Nvidia Jetson into lunar orbit for the first time, using AI to help turn moon imagery into useful insights while the spacecraft is still in space.
On Blue Ghost Mission 2, targeted for late 2026, Firefly will send a lander to the far side of the moon for science research while its Elytra spacecraft stays in orbit. Firefly’s Ocula service will use Jetson to analyze imagery onboard, helping teams get answers faster from space.
Firefly’s first Blue Ghost mission downlinked nearly 120GB of raw lunar data that researchers are still processing; with Jetson, Ocula is designed to reduce that timeline from weeks or months to near real time.
Faster onboard processing could help scientists and mission teams spot important images, prioritize what gets sent back to Earth and make decisions while a mission is still underway.
Over time, the same approach could support lunar mapping, landing-site analysis, mineral detection and situational awareness as more countries and companies operate around the moon.