NVIDIA TensorRT
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VisitNVIDIA TensorRT vs ONNX Runtime
ONNX Runtime
7.2#4 in deep learning softwareFree planFree planAndroidiOSWebLinux
VisitWhat both publish
| Fact | NVIDIA TensorRT | ONNX Runtime |
|---|---|---|
| Purpose | TensorRT is an ecosystem of inference compilers, runtimes, and model optimization tools for high-performance deep learning inference. | ONNX Runtime is a production-grade engine for accelerating machine-learning training and inference in existing technology stacks. |
| Security guidance | NVIDIA recommends deserializing only engines built by the user or received through a trusted, authenticated channel. | The documentation warns that models from untrusted sources may consume excessive memory or compute resources and recommends inspection and safe testing. |
NVIDIA TensorRT plans
- TensorRTFree
- NVIDIA AI EnterprisePriced on request
ONNX Runtime plans
- Open sourceFree
Pick NVIDIA TensorRT if…
TensorRT suits developers optimizing inference on supported NVIDIA hardware, including teams working with ONNX, PyTorch, Hugging Face, or TensorRT-LLM. Users should be prepared to manage platform-specific engines and handle engine files as trusted code.
Pick ONNX Runtime if…
ONNX Runtime suits developers deploying machine-learning models across varied devices and hardware accelerators. It may also suit teams seeking local training or browser and mobile inference.