Can you sort of talk through that in a sort of typical organization?

Let's assume that you were in the age of the internet or the cloud, and you had a SaaS service or a streaming service, and you wanted to do something about it.

You wanted to watch a movie, you wanted to watch some recording, you wanted to watch something pulled down from there.

You would send a small pile of bits over to the server side or to the cloud application, and it'll stream a huge amount of data to you.

So the data was asymmetric pretty much, and the network architectures catered to that.

Your upload speeds from the consumer was always less than the download speeds that you would get from consumers, and they would rate themselves based on that.

They would always say, "Hey, you got 10 megs of download or one gig of download," or something like that, but they never talk about the upload speeds because it was always meager.

So as AI continues to grow, what's the most important piece of advice that you can think for organizations, service providers who are adopting this sort of AI native architecture into their systems and infrastructure?