CC-Transcript

• 00:00Two dynamics is happening at the same time. The first dynamic is that. The vast majority of that growth is likely to be accelerated, meaning we’ve known for some time that general purpose computing has run out, of course run its course, and that we need a new computing approach. And the world is going through a platform shift from hand coded software running on general purpose computers to machine learning software running on accelerators and GPUs. This way of doing computation is at this point past this tipping point, and we are now seeing the inflection point happening, the inflection happening in the world’s data center buildouts. So the first thing is a transition in the way we do computing. Second is an increase in recognition that the future of software requires capital investment. Now, this is a very big idea, whereas in the past we wrote the software and we ran it on computers. In the future, the computers is going to generate the tokens for the software. And so the computer has become a generator of tokens, not a retrieval of files from retrieval based computing to generative based computing, from the old way of doing data centers to a new way of building these infrastructure. And I call them A.I. factories. They’re factories because it has one job and one job only generating these incredible tokens that we then reconstitute into music, into words, into videos, into research, into chemicals or proteins. We reconstitute it into all kinds of information of different types. So the world is going through a transition and not just the amount of data centers that will be built, but also how it’s built.