Antonio Neri

But in terms of where the work is being done, it's done everywhere.

But we see now the growing in inferencing, which tells you that AI is being deployed.

And there are a lot of use cases, whether it's manufacturing, transportation, healthcare, where the inferencing is cheaper.

at the edge where things takes place, where the data is generated.

And then obviously is the training aspect, which can be a combination of locations.

And in Europe, for example, this concept of sovereign AI clouds is super important because they want to preserve the sovereignty from a model perspective and the data.

So it's a hybrid design by design.

And that's why I always say AI is the true definition of a workload.