First step would be to run their own hardware. Why? $1.5B is a substantial amount of money. They can claim to be more green/energy efficient.

As for a public cloud, maybe not yet.. the problem with it is that it can be difficult to change/unwind.

However, they might just want to sell those sweet high margin AI/ML cycles running on both the backend and the client devices