Kieran Kunhya

So you need GPU power that's on the cloud on a phone to stream that.

And so all of these use cases needs to be not about extremely low latency but real-time latency for video.

And so that means you need

We're toying with the encoders so that the encoders encode a frame in four milliseconds.

And Kiran with his company also goes under those type of latency because you need to optimize at max the local latency, right?

Because it's decoder, the encoder, and so on.

Because this time is going to be added to your networking time.

So, and it's not just about low latency.

It's also about like reliability.

We do clever things like forward error correction, right?

So forward error correction is you over transmit a bit of data, right?

A few percent.

And while over transmit, you allow to lose some packets.

Because all of that is very difficult over an internet network where you're going to do things very far away.

And if you check that all packets are delivered, you add a ton of latency.

If you don't want latency, what we do is that we over-transmit some data that you can reconstruct on the client side when there are things that are broken.

And a few days, weeks ago, we were doing the demo around Las Vegas for the CES.

We had a rover that is fully 3D printed.

It's very simple.

It's a car, right?