They seem focused on inferencing, which requires a lot less compute than training a model. Example: GPT-3 required thousands of GPUs for training, but it can run on less than 20 GPUs.
Microsoft built an Azure supercluster for OpenAI and it has 10,000 GPUs.
There will be models trained with a lot more compute then GPT-3 and the best models that are out there will be build on those huge billion dollar models. Renting out those billion dollar models in a software as a service way makes sense as a business model. The big cloud providers will all do it.