# Nvidia and Palantir team up to run supply chains with AI, starting with Nvidia's own million-part operation > Source: > Published: 2026-09-10 12:23:16+00:00 # Nvidia and Palantir team up to run supply chains with AI, starting with Nvidia's own million-part operation **Nvidia and Palantir want to run supply chains with AI.** The first deployment target is [Nvidia's own supply chain](https://developer.nvidia.com/blog/from-wafer-out-to-first-token-codifying-supply-chain-expertise-with-nemotron-and-palantir-foundry/), which spans millions of parts, thousands of suppliers, and a global partner network. A single [Vera Rubin rack](https://the-decoder.com/gtc-2026-with-groq-3-lpx-nvidia-adds-dedicated-inference-hardware-to-its-platform-for-the-first-time/) contains 1.3 million components, according to Nvidia. Palantir is integrating open Nemotron models into its Foundry platform, where companies can fine-tune them with their own operational data. [Nvidia cuOpt](https://www.nvidia.com/en-us/ai-data-science/products/cuopt/) handles scenario planning and optimization. The system is designed to spot bottlenecks earlier, speed up material allocation, and evaluate alternatives. Decisions and their outcomes feed back into the models so they improve over time. Companies in manufacturing, pharma, or energy can run the full stack on their own hardware or in the cloud through the [Sovereign AI OS](https://www.palantir.com/sovereignaios/) reference architecture. Infrastructure partners include [Dell](https://www.dell.com/en-us/blog/sovereign-ai-for-the-supply-chain-built-on-infrastructure-you-control), [Cisco](https://blogs.cisco.com/news/deploying-ai-you-control-doesnt-need-to-be-so-hard), Rackspace, and Nebius. Palantir is showing more details at [AIPCon 11](https://www.youtube.com/live/uijZR7hnDGM). Nvidia has been building out the Nemotron lineup as an [alternative to Chinese open-weight models](https://the-decoder.com/nvidia-steps-into-the-open-source-ai-gap-that-openai-meta-and-anthropic-left-behind/). The flagship [Nemotron 3 Ultra](https://the-decoder.com/nvidias-nemotron-3-ultra-becomes-the-smartest-open-us-model-but-china-still-leads/) was the strongest open US model at its June launch, according to Artificial Analysis, though [Inkling from Thinking Machines Lab](https://the-decoder.com/ex-openai-cto-muratis-thinking-machines-drops-inkling-a-975b-parameter-model-that-leads-us-labs-but-trails-china/) has since taken the lead. Palantir CEO Alex Karp has been pushing the idea that companies should run their own models rather than hand their knowledge over to third-party providers. [Mistral founder Arthur Mensch recently made a similar argument](https://the-decoder.com/mistral-ceo-mensch-says-proprietary-ai-models-give-labs-a-front-row-seat-to-your-business-processes/). ``` AI News Without the Hype – Curated by Humans Subscribe to THE DECODER for ad-free reading, a weekly AI newsletter, our exclusive "AI Radar" frontier report six times a year, full archive access, and access to our comment section. Subscribe now ``` [Nvidia](https://nvidianews.nvidia.com/news/nvidia-and-palantir-bring-sovereign-intelligence-to-critical-supply-chains)