Inference Runtime or Generated C Code?

Your ONNX model passes validation.
Now you need to make it part of the embedded application.

Do you add an inference runtime or generate C code that you can build, inspect, debug, and maintain with the rest of your software?

An inference runtime can be the practical choice when:

• models change frequently
• broad operator support is required
• one deployment environment must support different networks

Generated C code may be the better fit when:

• the model and target hardware are clearly defined
• you want to stay within your existing C toolchain and build process
• you need to inspect memory use, data flow, and dependencies
• your team must review, debug, or adapt the implementation

The difference is not simply runtime versus compiler.
A runtime keeps the model flexible.
Generated C code makes the inference implementation part of the embedded software itself.

The emmtrix Edge AI Compiler supports this path by generating C code from ONNX models and preparing it for further analysis, transformation, and target-specific adaptation.

Choosing between a runtime and generated C code for your embedded AI project? Let’s compare the requirements of your model, target, and software architecture.