Edge Computing RK Edge-Chip DevelopmentBoard - 2025 Update

RK3588, RK3588S, and RK3576 rank among thetop embedded edge chips domestically. The surge in RK's stock price signalsthat 2025 will be a breakout year for edge applications.

Dingchang's development boards have beentested to run smoothly with 6TOPS NPU computing power and octa-core CPU,supporting basic AI large language models (LLMs) under 10 billion parameters.

Key Features & Compatibility

6TOPS NPU Performance: Enables seamlesslocal deployment of 10B+ LLMs from Tencent (Hunyuan), Baidu (Wenxin), Alibaba(Tongyi), and ByteDance (Doubao).

Applicable Models:

Vertical Edge AI Applications

Enterprise Knowledge Management:Intelligent Q&A platforms, AIGC text-to-image/image-to-image generation.

Offline Speech Processing: Whisper-basedvoice interaction control, translation, speech-to-text conversion.

Industrial Edge Computing: Computer Vision: YOLOv10/8/7/5(seg/obb/pose), YOLOv5_seg, YOLOX, RetinaFace, etc.

Speech & NLP: Whisper, PPOCR_V4,Lite_Transformer.

Industrial Applications: Licenseplate/face/object/action recognition, production line quality inspection,real-time video analysis.

Development Ecosystem

Dingchang's DC-LLM-RAG-SDK and API toolsintegrate all mentioned frameworks, supporting:

Smart home devices, service robots,intelligent vending systems with product recommendation.

Industrial scenarios: Safety monitoring,automated production line data analysis.