The clause covers putting a trained and evaluated model into an operating environment where it can serve production data. Models can be exposed through a web service or built into a native application. Packaging options include servers, clusters, virtual machines, exchange formats such as ONNX and NNEF, containers that carry their dependencies, and deployment on devices including drones. The runtime may differ from the development environment, and the clause warns that this difference needs care. Optimisation for a target platform, such as quantising weights, can change the model enough that a new evaluation is needed, sending the work back to verification.
The graph holds this control, the 0 it maps to, and the evidence behind each claim, over MCP and REST.