Analysis, Local Studio, and deployment decision layer for local-first Edge AI inference validation.
-
Updated
Jun 23, 2026 - Python
Analysis, Local Studio, and deployment decision layer for local-first Edge AI inference validation.
C++ runtime execution and Jetson/ONNX Runtime evidence export layer for Edge AI inference validation.
Build provenance and handoff layer for ONNX-to-edge artifacts in the InferEdge validation pipeline.
Jetson Orin Nano internal edge AI evidence lab: environment baselines, PyTorch/ONNX Runtime/TensorRT comparison, FastAPI serving, Whisper audio, and InferEdge exports.
Optional deterministic diagnosis evidence layer for explaining risky Edge AI inference outputs.
Multi-repository entrypoint for the InferEdge local-first Edge AI inference validation pipeline.
To associate your repository with the inferedge topic, visit your repo's landing page and select "manage topics."