Chris Lattner

If it's on a CPU, go do...

like an Intel algorithm or something like that with the Intel MKL, okay?

Now, that's really cool if you're either NVIDIA or Intel, right?

But then more hardware comes in, right?

And on one access, you have more hardware coming in.

On the other hand, you have an explosion of innovation in AI.

And so what happened with both TensorFlow and PyTorch is that the explosion of innovation in AI has led to, it's not just about matrix multiplication and convolution.

These things have now like 2000 different operators.

And on the other hand, you have, I don't know how many pieces of hardware there are out there.

It's a lot.

It's not even hundreds.

It's probably thousands.

And across all of Edge and across all the different things.

Yeah, exactly.

It's every phone, often with many different chips inside of it from different vendors.

AI is everywhere.

It's a thing.

So Chris's philosophy on hardware.

So my philosophy is that there isn't one right solution.

And so I think that, again, we're at the end of Moore's Law.