Overview of AI Factory Infrastructure - The next industrial revolution is here, marked by the emergence of a new type of factory centered around AI infrastructure [1] - AI infrastructure development requires ecosystem-scale collaboration among hundreds of companies [1] - NVIDIA Omniverse DSX serves as a blueprint for constructing and operating Gigascale AI factories [1] Design and Construction Optimization - Building, power, and cooling systems are co-designed with Nvidia's AI infrastructure stack [1] - Jacobs Engineering optimizes compute density and layout to maximize token generation based on power constraints [2] - Prefabricated modules are factory-built, tested, and ready to plug in by Nvidia partners like Bectal and Vertive, significantly reducing build time [3] Operational Efficiency and Revenue Generation - The digital twin acts as an operating system for the physical AI factory [4] - AI agents, trained in the digital twin, optimize power consumption and reduce strain on the AI factory and the grid [4] - DSX optimizations can potentially deliver billions of dollars in additional revenue per year for a one gigawatt AI factory [4] Deployment and Research - Nvidia's partners are implementing DSX across Texas, Georgia, and Nevada [5] - Nvidia is establishing an AI factory research center in Virginia using DSX to test and productize Vera Rubin [5]
How America's AI Infrastructure Is Being Future-Proofed for the Next Industrial Revolution