The case for Model-as-a-Service over self-managed inference

The case for Model-as-a-Service over self-managed inference The operational overhead of self-hosting model inference (vLLM setup, networking, scaling) is significant for small teams. Policy stories matter because compliance friction can slow adoption even when model quality keeps improving.