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+# FastDeploy Inference Backend
+
+FastDeploy currently integrates with a wide range of inference backends. The following table summarises these integrated backends and information, including the platforms and hardware.
+
+| Inference Backend | Platform                        | Hardware | Supported Model Format |
+|:----------------- |:------------------------------- |:-------- |:---------------------- |
+| Paddle Inference  | Windows(x64)/Linux(x64)         | GPU/CPU  | Paddle                 |
+| ONNX Runtime      | Windows(x64)/Linux(x64/aarch64) | GPU/CPU  | Paddle/ONNX            |
+| TensorRT          | Windows(x64)/Linux(x64/jetson)  | GPU      | Paddle/ONNX            |
+| OpenVINO          | Windows(x64)/Linux(x64)         | CPU      | Paddle/ONNX            |
+| Poros[Incoming]   | Linux(x64)                      | CPU/GPU  | TorchScript            |
+
+Backends in FastDeploy are independent and developers can choose to enable one or more of them for customized compilation.
+The `Runtime` module in FastDeploy provides a unified API for all backends. See the [FastDeploy Runtime User Guideline](usage.md) for more details.
+
+## Related Files
+
+- [FastDeploy Compile](../compile)