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L2 · ChipsStandard / protocol
ONNX
Open model-exchange format for interop
ONNX is the open intermediate format for exchanging trained models between frameworks and runtimes (ONNX Runtime, edge deployments), important for portability and edge/embedded inference. It is a neutrality layer that lets models move off any single training framework or vendor runtime.
Steward
LF AI & Data
Use
cross-runtime model exchange
How it fits the stack
ONNX with what it depends on (above) and what it feeds (below). The figure renders as a crawlable diagram and upgrades to an interactive 3D graph as it scrolls into view.
ONNXFeeds ↓
ONNX in the AI stack. ONNX with its immediate upstream dependencies (top) and downstream dependents (bottom) in the AI value chain. Hover a node in 3D, or read the full relationships below.
Graph data (text) — 2 entities, 1 relationships
- On-device / edge inference (NPUs, GGUF) —used by→ ONNX