Huang says Vera Rubin is in volume production, several years ahead of China, and supplied first to American labs and industries.

We are in the generation of what we call Vera Rubin. Vera Rubin is shipping in volume production. We are several years ahead of China with this technology, and it has been made available to Dario and Sam and the American labs and American industries, and that is exactly what we are doing, and we are delighted to do that.

Huang frames AI as a five-layer cake spanning energy, chips, models, data and applications, and says America needs to win every layer.

AI is a five-layer cake. It is not just that model. The AI industry is represented by the energy sector, the chips sector, the model layer where they are, you could argue that there are six layers or five, but above that is basically the data and the application layer. And we need every single one of these layers, everybody in America, to win.

Jensen Huang says the energy required for AI computing is likely about 1,000 times what is currently available.

The amount of energy that we need for [AI] computing is likely probably 1,000 times more than we currently have

Jensen Huang said Nvidia's revenue per gigawatt rises from about $18B for Hopper to $25B for Grace Blackwell and $40B for Vera Rubin, with productivity improving several-fold each generation.

In the case of Hopper, we were at about $18 billion per gigawatt. For Grace Blackwell, we're about $25 billion per gigawatt. And for Vera Rubin, it's about $40 billion per gigawatt. And the productivity is X factors increase in each generation.

Jensen Huang said customers are racing to adopt the next generation of Nvidia systems as quickly as possible.

And so customers want to race to the next generation as fast as they can.