Nvidia's Open Model Super Panel Made a Strong Case for Open Agents

"Proprietary versus open is not a thing. It's proprietary and open. A.I. is a system of models and systems of a lot of other things. Models matter. Open models matter a lot. But what increasingly matters more is the system wrapped around them: orchestration, memory, tools, identity, governance, and runtime."

"The real story was the move from models to systems. AI is not a single model, a single product, or a single winner-take-all category. It is a stack, a system, and increasingly a combination of many different model types working together."

At GTC 2026, Nvidia's Open Models Super Panel revealed a fundamental shift in AI architecture. Jensen Huang challenged the conventional proprietary versus open dichotomy, arguing that AI operates as a layered system combining multiple model types. While open models serve as important infrastructure enabling broader access and specialized innovations, the real competitive advantage increasingly lies in the systems layer above models: orchestration, memory, tools, identity, governance, and runtime. This represents a market transition from competing on individual models to competing on integrated agent systems. Perplexity Computer exemplified this direction by abstracting away model selection from users, instead focusing on seamless task orchestration and system integration.

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