[kkielhofner]

The dirty little open secret with a lot of these platforms is the contract sizes, hardware costs, etc are so massive they come with multiple teams of dedicated engineers and internal expertise to get your application(s) up and running on them. Obviously these things are never quite "pull a docker container and run" and no one dropping eight-nine figures on these installs is going to do it without serious vendor backing and support.

It's part of the reason why AMD has had quite a bit of success here but is in single digit market share for "AI" otherwise.

Most people - even large orgs with thousands of GPUs - are so trapped in CUDA the theoretical on paper performance and cost benefits evaporate immediately when you spend all of your time trying to port everything over to the point you get equivalent performance and functionality.