The NVIDIA Era: The Path to $1 Trillion and the AGI Future

This course examines NVIDIA’s strategic roadmap as presented at GTC 2026, detailing the company’s transition from a chip manufacturer to the central architect of the global AI economy. It focuses on the "Path to a Trillion," a plan to reach one trillion dollars in AI revenue by establishing massive AI factories. These facilities represent a shift where intelligence is produced as a utility, comparable to the industrial production of electricity. The curriculum covers the evolution from Blackwell architecture to next-generation silicon capable of supporting trillion-parameter models. Learners will analyze how NVIDIA provides the fundamental infrastructure required for large-scale compute, moving beyond traditional data centers into integrated systems designed for autonomous reasoning and planning. The series also explores the expansion of AI into the physical world and the rise of national AI infrastructure. It details the development of humanoid robotics through Project GR00T and the Isaac Lab simulation environment, which enable machines to automate global manufacturing. A significant portion of the course investigates "Sovereign AI," explaining why nations are building domestic AI clouds to ensure data autonomy and national security. Finally, the course addresses the technical path toward Artificial General Intelligence (AGI). It evaluates how scaling laws and "System 2" thinking allow models to move from simple pattern recognition to complex reasoning. This exploration concludes with an analysis of an economy where compute is no longer a bottleneck and the cost of cognitive labor approaches zero.