How are you deploying models without inference providers?

We’ve seen a similar split in practice. A lot of models without attached providers end up being used either locally (llama.cpp / Ollama / LM Studio) or served by teams on their own infrastructure once they move past experimentation. In many cases the lack of a default provider is intentional. It gives teams flexibility to deploy based on their own cost, latency, and control requirements rather than a one-size-fits-all endpoint.