The product is no longer the model — it’s the agent. Jensen introduced NVIDIA’s canonical agent architecture under a revealing title: “Agents Are Multi-Model, Multi-Cloud, and Hybrid-Cloud.”
At the center: a reasoning engine cycling through four phases:
Reason — Analyze the problem
Plan — Design the approach
Critique — Evaluate alternatives
Act — Execute and learn
This isn’t a chatbot answering questions — it’s a system that decomposes problems, evaluates approaches, takes action, and learns from results.
Multi-Model Reality
The architecture includes a Router connecting to multiple model providers — Anthropic, Google, OpenAI, xAI — alongside NVIDIA’s open models. No single model handles everything. Production systems route requests to specialized models based on task requirements:
CrowdStrike — Charlotte AI creates Hunt, Triage, and Recovery agents for security threats
NetApp — Transforms unstructured enterprise documents into AI-ready knowledge graphs
Strategic Implication
Context engineering has replaced prompt engineering as the core skill. AI companies must think like systems integrators, not model trainers. The companies that master agent orchestration — routing the right task to the right model with the right context — capture the value.
Gennaro is the creator of FourWeekMBA, which reached about four million business people, comprising C-level executives, investors, analysts, product managers, and aspiring digital entrepreneurs in 2022 alone | He is also Director of Sales for a high-tech scaleup in the AI Industry | In 2012, Gennaro earned an International MBA with emphasis on Corporate Finance and Business Strategy.
