AI & Vision

Rockchip Edge AI

Designing complete edge-AI products: camera to NPU to application, with LLMs on RK3588/RK3576.

An edge-AI product is more than a model. It needs a camera or video ingest (MPP decode for RTSP streams), pre-processing on RGA, NPU inference, CPU post-processing and an application layer (MQTT, REST, UI). RK3588 can decode many 1080p streams while running detection on all three NPU cores; RKLLM brings small LLMs on-device.

Key points

  • Budget memory bandwidth: video decode, RGA and NPU all share DDR.
  • Use zero-copy DMA buffers between MPP, RGA and RKNN where possible.
  • Watch thermals. Sustained NPU + VPU load needs a proper heatsink or the SoC throttles.

References

Edge AI guides

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