---
description: Explore RKNNBackend for Rockchip RKNN inference, enabling optimized YOLO deployment on Rockchip NPU-equipped edge devices.
keywords: Ultralytics, RKNNBackend, RKNN inference, Rockchip RKNN, NPU inference, edge AI, embedded deployment, deep learning
---

# Reference for `ultralytics/nn/backends/rknn.py`

!!! success "Improvements"

    This page is sourced from [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/nn/backends/rknn.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/nn/backends/rknn.py). Have an improvement or example to add? Open a [Pull Request](https://docs.ultralytics.com/help/contributing/) — thank you! 🙏

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## ::: ultralytics.nn.backends.rknn.RKNNBackend

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