Logan Kilpatrick

Yeah, it should be able to.

I think that's one of the cool things about Firebase and Firebase Studios.

You get the sort of batteries included with compute and storage, etc.

So that should just work out of the box.

And they also have a bunch of Gemini integration.

So you should be able to like get it to do sort of image understanding with Gemini through Firebase, get a database, all that stuff.

Yeah.

Yeah.

That's a great question.

So what ends up happening with Gemma is, um,

sort of, it's an acknowledgement in a couple of ways.

Like one, obviously open source and open models are good for the ecosystem.

So it's great for Google to participate in.

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.