Satish Vangala

And then finally, we are looking at building our systems, resilient systems, so that when we do deploy them at scale, we are able to operate our network at a very high reliability.

So those are the main challenges that we are really looking at so that we can deliver capacity at scale at a very fast pace.

So this is our networking hardware lab here in AWS.

Network is almost like a data highway or information highway.

You have these massive AI clusters of graphics or CPUs that are there.

They all exchange information.

I think that's the whole point of what we do here is to ensure that your experience feels instant.

That means that we need to have a network that has no traffic jams or no delays.

So I'll walk you through some of the things that we do here, and then we can kind of go through some of the stations, and I'll explain you in detail.

This is our 800-gig generation product, so that means we have more lanes for data exchange.

In one room on a wall of computer servers... These are typically what you would see in a data center.

Plugging in these many connections, like these are 60, 32 ports, it's slowing us down.

Individually, it takes a lot of time and doing it reliably is also a challenge.

So what we have done here is that we kind of looked into this problem and how we could actually miniaturize it so that we can actually reduce it.

So these are 64 fibers that we connected and here we got a single connector that actually can do exactly the same thing that we are doing in a smaller form factor here.

So that enables us to reduce our deployment time by more than 50%.

and then the light gets sent over a fiber optic cable to any distance you want, and that's the information highway that connects across.

Yeah, they look like nail clippers, yes.

I think meeting that demand, that's the first goal that we have.

Second, as I said, how do we scale faster?