Keri Briske

You have Nemotron, you have Cosmos, and you have Groot.

Those are kind of our foundation model families.

World foundation model, that's right.

Yeah, that's right.

I'm looking in the physical world, yeah.

Yeah, I think they're very different.

So Nemotron is really kind of the brains, the understanding, the reasoning.

It started out as a text-based model, but now it also understands images, the nano does, and then also some video coming soon, and we'll get to vision later down the line.

But what sets it apart is that, again, the transparency.

And also the reason why we build it.

I mean, we also build it for ourselves to develop our next-gen architectures for systems at scale.

And so we also are building it for ourselves.

So we have to understand how to build it so we understand how the systems work.

And then when we put it out into the open, I mentioned how we also released the datasets.

When we started releasing the datasets, we had so many...

Even enterprises come out and say, hey, that's fantastic.

Can you help me build a model too?

Even though we put the ingredients out, we still want to kind of pick your brain and understand how to use those data sets together.

So it really sets it apart in that, again, it's trust through transparency.

You said open weights earlier, and I think that it's really open source, right?