Engineering focus
Model representation and hardware-specific task quality.
ONNX Runtime
Model execution across deployment targets. Model representation and hardware-specific task quality.
Discuss a ONNX Runtime programmePlatform engineering programme
ONNX Runtime: Model execution across deployment targets.
Engineering on this platform.
Commissioned scope
Edge AI deployment · Model deployment migration · Small model inference optimisation
Engineering focus
Commission ONNX Runtime engineering for model execution across deployment targets. The contribution centres on model representation and hardware-specific task quality.
Programmes to commission
- Edge AI deployment: Package and operate model tasks on selected edge compute devices.
- Model deployment migration: Move existing serving workloads to a reviewed deployment architecture.
- Small model inference optimisation: Tune specialised model serving to device capacity and response requirements.
Operating context
Application, model and robotics components connected to a defined programme outcome. The engagement identifies the selected components, interfaces and acceptance evidence. Relevant vendor terms and access arrangements follow the actual platform scope. A useful result connects platform behaviour to the enterprise task.
Platform context.
Bring the next
requirement.