Model as a Service
Manage and access platform-hosted models through stable interfaces.
AI model operations split into two different concerns:
- getting model weights or model references into a platform-managed form
- exposing those models through a serving path that applications can actually use
For locally managed and platform-hosted models, the central operational service is the Model Installer API. It handles artifact import, MLflow registration, inference registration, and the bridge into the serving layer.