Scott Guthrie

And, you know, we're doing a similar thing on the infrastructure side when you think about, you know, we support NVIDIA GPUs, we support AMD GPUs, we support our own first-party Azure Maya AI accelerators as well.

You know,

That diversity of choice and diversity of options, it's good for customers.

And it also ensures that we have the most competitive offering because we have a complete offering that allows you to also pick and choose the pieces that you most want.

Yeah.

And I think in a given quarter, a given month, a given year, I think you are also going to see this dynamic, which is healthy for...

the market healthy for consumers of this model pulls ahead on this scenario, this model pulls ahead on that scenario.

And to the extent that you can also have common tools that let you do evaluations, safe rollouts of new models.

In some ways, it's like the DevOps, if you will, of AI development where

You want to run your tests and your evals and know that you're not regressing on a quality in one scenario while you're also making another scenario better.

And then having kind of safety and security that works sort of independent of a specific model means that you can try out new things and become either convicted that it's going to be better

or realize, well, it's better here, but it's worse here.

Maybe I won't use it.

And that's a lot of what we're trying to build is sort of the tool chain that lets you do that and do it repeatedly and do it reliably because as more and more organizations, whether they're startups or enterprises, put these models into production and use them for mission-critical labs,

you need that level of hygiene and that level of control to avoid having a problem that impacts your customer experience or impacts your business.

Yeah, I mean, I think it's definitely, you know, we work a lot with businesses in particular.

And I think, you know, for all of the businesses that we talk to, I think there's sort of

two big conversations that people want to have with us.

The first is, how do I demonstrate business value so I can get my CFO to continue to invest in AI?

And so people are like, I need to move from prototyping, from demos, from experimentation to I can measure customer support costs went down 12%, or sales increased by N%, or business operations improved by Y%.