20 years ago, all of this [artificial intelligence] was science fiction. 10 years ago, it was a dream. Today, we are living it. - Jensen Huang

The inference, the scale of inference business has gone through a step function, no doubt, and the type of inference that is being done right now where you know that video will have generative AI added to it to augment the video either to enhance the background, enhance the subject, relight the face, do eye reposing, augment with fun graphics, so on and so forth. All of that generative AI work is done in the cloud and so video has generative AI. We know that there’s imaging and 3D graphics for generative AI, video for generative AI.

We build our entire system full stack, and then we build it end-to-end at data center scale but then when we go to market, we disaggregate this entire thing. This is the miracle of what we do, we’re full stack, we’re data center scale, we work in multiple domains, we have quantum computing here, we have computational lithography there, we have computer graphics here and this architecture runs all of these different domains, in artificial intelligence and robotics and such and we operate from the cloud to the edge and we built it in a full system, vertically integrated, but when we go to market, we disaggregate everything and we integrate it into the world’s computing fabric.

You could learn the language of almost anything. Once you learn the language, you can apply the language - and the application of language is generation.