That's not really how the LLM API market works. The interfaces themselves are pretty trivial and have no real lock-in value, and there's plenty of adapters around anyway. (Often first-party, e.g. both Anthropic and Google provide OpenAI-compatible APIs). There might initially have been theories that you could not easily move to a different model, creating lock-in, but in practice LLMs are so flexible and forgiving about the inputs that a different model can be just dropped in an work without any model-specific changes.
> 80% margin on GPU cost? What about after paying for power, facilities
The market price of renting that compute on the market. That's fully loaded, so would include a) pro-rated recouping the capital cost of the GPUs, b) the power, cooling, datacenter buildings, etc, c) the hosting provider's margin.
> admin, support, marketing, etc.? Are GPUs really more than half the cost of this business?
Pretty likely! In OpenAI's leaked 2024 financial plan the compute costs were like 75% of their projected costs.