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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)