AE Natarajan

And that is huge.

So when you are an operator, whether you're a service provider who is transforming the edge to deliver it to your enterprises and customers,

or you're somebody else who's building models and training models, or you're providing that service to your enterprises, you need to think about the network architecture, not just for today and also for tomorrow.

And think about what AI imposes to you.

It is always on.

Both the upstream and downstream is going to be symmetric or huge loads.

And you cannot cache it.

You cannot cheat the system anymore.

you're holding a tablet, I have a smartphone, we are all using all sorts of devices and we're going to be consumers of AI and we'll be going to use AI in our work, in how we play and how we entertain ourselves and how we do things.

And we could be doing things of training models,

we could be using AI to do our work and getting answers.

There has to be a consistent way by which AI responds to us and gives us predictability in terms of how it operates so that the user experience is enhanced, which goes back to all of the things that we talked about in terms of network architecture,

transformation in the core transformation in the dci transformation in the edge so that you can deliver ai in the best possible user experience and we need to think about it and we need to also think about the growth when this explodes and inference is taking on it is going to grow exponentially so we need to think about how these networks are going to just multi-fold grow in the next few years people even talk about 5x growth in the next three to five years so that is what is upon us