Logan Kilpatrick

Google's done a ton of stuff in open source for many, many years.

I think that the Gemma story is also an acknowledgement of it's us meeting developers and customers where they are.

And there's a ton of ecosystems where like you either need to have the level of model customization that open source provides,

or the stability of like long-term deployments.

Like I was emailing with a customer over the weekend and they were saying how they basically need more than six months to get a model approved to actually put it into production.

because they're in a regulated industry and at the pace of what ends up happening with the Gemini models it ends up being difficult for them to like use Gemini in production because like we have so many models and then the old models get deprecated and new ones come out and all this stuff and like this the pace of innovation that's happening actually makes adopting AI difficult and that's where Gemma is like a great example of like you can take the models you can put them on a server somewhere you can deploy them and you can own that yourself long term and sort of

take ownership in the journey of how you migrate between different AI models that are coming.

So I think there's something interesting there.

There's two other angles.

One of them is I think people also just

want to have this like customization story.

And there's like a few a few good examples of this, like we did dolphin Gemma.

And dolphin Gemma is like, train down a bunch of dolphin data and sort of helps helps understand some of the stuff that's happening, that the like, actions that dolphins are taking, which is like kind of a funny example, but also like interesting of the level of customization that you can do.

Med Gemma is another one where there's like a huge amount of interest in the medical space.

And obviously, open AI is making a bunch of

bunch of noise about that with GPT-5 and the stuff that they're doing.

So it's clearly an example that I think they said it was one of the highest traction query use cases in ChatGPT was this medical use case.

And I think I talk to customers all the time who are blown away with MedGemma and MedGemini, actually the sort of Gemini variant of it.

So it's been super cool to see

those use cases also get love by being able to like build these custom open source models.