Chris Lattner

And so anytime you see this pattern, that's an opportunity for Mojo to help simplify the world and help people have one thing.

So just over a year ago, we started this company called Modular.

What Modular is about is it's about taking AI and up-leveling it into the next generation.

And so if you take a step back, what's gone on in the last five, six, seven, eight years is that we've had things like TensorFlow and PyTorch and these other systems come in.

You've used them.

You know this.

And what's happened is these things have grown like crazy and they get tons of users.

It's in production deployment scenarios, it's being used to power so many systems.

I mean, AI is all around us now.

It used to be controversial years ago, but now it's a thing.

But the challenge with these systems is that they haven't always been thought out with current demands in mind.

And so you think about it, where were LLMs eight years ago?

Well, they didn't exist, right?

AI has changed so much, and a lot of what people are doing today are very different than when these systems were built.

And meanwhile, the hardware side of this has gotten into a huge mess.

There's tons of new chips and accelerators, and every big company is announcing a new chip every day, it feels like.

And so between that, you have like this moving system on one side, moving system on the other side, and it just turns into this gigantic mess, which makes it very difficult for people to actually use AI, particularly in production deployment scenarios.

And so what modular is doing is we're helping build out that software stack to help solve some of those problems.

So then people can be more productive and get more AI research into production.

Now, what Mojo does is it's a really, really, really important piece of that.