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NVIDIA Shifts Physical AI From Data Scarcity to Compute-as-Data
NVIDIA GTC 2026 highlighted a shift in physical AI from isolated deployments to enterprise-scale workloads, centered on new frontier models including Cosmos 3, Isaac GR00T N1.7, and Alpamayo 1.5. The company released two key blueprints: the Physical AI Data Factory Blueprint to advance world modeling and autonomous systems, and the Omniverse DSX Blueprint for AI factory digital twin simulation. OpenUSD is positioned as a unifying layer that converts CAD data and real-world telemetry into a shared, physically accurate environment, while open source frameworks like OpenClaw extend AI capabilities to autonomous operations and workflow orchestration.
by Heather McDiarmidยท NVIDIA Blog (AI)
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