What it solves
An application coupled directly to one model API or hosted provider inherits that provider contract, failure behavior, and constraints, making later runtime changes expensive and invasive.
← All scenarios
Use case
Self-Hosted Inference Without Hard-Coupling the Product to One Model or AI Provider
AI Plane gives the product a stable inference contract and logical model aliases so a supported model or runtime can change behind a dedicated control plane instead of forcing application integration rewrites.
Good fit when
Teams that need an owned self-hosted inference boundary, explicit readiness/provenance/failure semantics, and a qualified path to change supported models or runtimes.
Not a fit when
Buyers expecting universally production-ready AI infrastructure, proven clean-host portability, streaming/tool calls, or arbitrary GPU/model support without separate qualification.
Recommended product
AI Plane
Self-hosted model execution and control plane with a stable inference contract, replaceable models and runtimes, governed routing, provenance, evaluation and evidence-backed release gates.
Deployment: Bounded self-hosted provider-v1 contour on a qualified host. The accepted runtime is limited to the declared llama.cpp/Qwen/dev-cpu profile; portable clean-host and dependency-sovereignty acceptance remain open.
Requests are reviewed manually; automatic access and guaranteed response timing are not claimed.