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@ -38,34 +38,34 @@ Frigate supports multiple different detectors that work on different types of ha
**Most Hardware**
- [Hailo](#hailo-8): The Hailo8 and Hailo8L AI Acceleration module is available in m.2 format with a HAT for RPi devices offering a wide range of compatibility with devices.
- [Supports many model architectures](../configuration/object_detectors#configuration)
- [Supports many model architectures](../../configuration/object_detectors#configuration)
- Runs best with tiny or small size models
- [Google Coral EdgeTPU](#google-coral-tpu): The Google Coral EdgeTPU is available in USB and m.2 format allowing for a wide range of compatibility with devices.
- [Supports primarily ssdlite and mobilenet model architectures](../configuration/object_detectors#edge-tpu-detector)
- [Supports primarily ssdlite and mobilenet model architectures](../../configuration/object_detectors#edge-tpu-detector)
**AMD**
- [ROCm](#amd-gpus): ROCm can run on AMD Discrete GPUs to provide efficient object detection
- [Supports limited model architectures](../configuration/object_detectors#supported-models-1)
- [Supports limited model architectures](../../configuration/object_detectors#supported-models-1)
- Runs best on discrete AMD GPUs
**Intel**
- [OpenVino](#openvino): OpenVino can run on Intel Arc GPUs, Intel integrated GPUs, and Intel CPUs to provide efficient object detection.
- [Supports majority of model architectures](../configuration/object_detectors#supported-models)
- [Supports majority of model architectures](../../configuration/object_detectors#supported-models)
- Runs best with tiny, small, or medium models
**Nvidia**
- [TensortRT](#tensorrt---nvidia-gpu): TensorRT can run on Nvidia GPUs and Jetson devices.
- [Supports majority of model architectures via ONNX](../configuration/object_detectors#supported-models-2)
- [Supports majority of model architectures via ONNX](../../configuration/object_detectors#supported-models-2)
- Runs well with any size models including large
**Rockchip**
- [RKNN](#rockchip-platform): RKNN models can run on Rockchip devices with included NPUs to provide efficient object detection.
- [Supports limited model architectures](../configuration/object_detectors#choosing-a-model)
- [Supports limited model architectures](../../configuration/object_detectors#choosing-a-model)
- Runs best with tiny or small size models
- Runs efficiently on low power hardware