AE Natarajan

The main challenges of the cloud and mobility is now, unlike the client server,

you could no longer predict where data is coming and where it is going.

It was still in terms of upload being small, download being high, but with mobile users, they were traveling and they were moving around.

So they would trigger from different places and downloads had to cater from different places.

Applications would move with the sun.

So you would have to change where the applications were getting loaded or microservices or SaaS-based services were getting loaded.

So you would do all of those things in a cloud environment.

In the case of AI, whether you're doing ingest for training purposes or you're doing inferencing, you're sending rich content upwards.

And you were downloading rich content because you could be using AI-based classes or virtual gaming machines and things like that.

You were sending rich content upstream and you were delivering rich content downstream for what you were doing.

So the AI started superimposing symmetric data patterns and traffics.

The second aspect what AI did was it really created a notion of agentic AI where the person is no longer there and agentic AI is running all the time, every time, which means the data never has peaks and valleys and you can't multiply, so you can't actually load balance across different things.

And you have to actually have a network that is provisioned to handle this load constantly every time.

The last thing that AI did, which we didn't talk about in the streaming services, when you stream the service, if it was coming from a distant place in the network, it would say buffering and you would get really irritated.

So we started building caches towards the edge.

But with AI and AI data, you no longer can build it with caches because AI data gets obsoleted the moment you try to cache it.

And so the network architectures have to rethink the way we do stuff in AI.

Network is symmetric.

the network is always on and the network is not cacheable.

You hit upon something very interesting.