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LPDDR4, LPDDR4X, LPDDR5 Lightweight AI Development Boards

 
Issuing time:2025-07-21 13:57Author:Guangzhou Dingchang Electronics gzdcsmt.com

Dingchang's development boards equippedwith LPDDR4/LPDDR4X/LPDDR5 high-speed memory, such as RK3566, RK3568, RK3576,and RK3588 development boards, will play a positive role in lightweight AIalgorithms. Facing the upcoming era of edge AI in 2025, large-capacity LPDDRhigh-speed memory will become more popular. The editor predicts that 16GB or32GB memory will become the mainstream for AI development boards.



1. With the support of LPDDR stackingtechnology, the memory capacity advantage of the development boards will befurther highlighted. The 16G/32G memory versions of RK3576 and RK3588 willbecome the preferred versions for shipment and mass production. (As shown in thefigure below: Dingchang RK3576 AI Development Board)


Dingchang RK3576 Android 14 Public Version Motherboard - DC_A576.jpg



Lightweight algorithms are executed andanalyzed locally, and will be present in a large number of AIoT devices, edgecomputing industrial computers, smart homes, as well as common large-screenterminals, advertising screens, service robots, real-time translation inconference terminals, intelligent vending systems, smart AI learning machines,text-to-image electronic screens, and many other terminal products, which willintegrate more lightweight AI algorithm models, even large language models.


AI Algorithms Will Be Implemented in Many Intelligent Terminal Projects.jpg



For the aforementioned large language models, Dingchang's RK3576 and RK3588 development boards can access basic largemodels with less than 10B parameters from Tencent, Baidu, Alibaba, andByteDance. Dingchang can provide local transplantation packages for largemodels with less than 10B parameters, such as Hunyuan, Wenxin, Tongyi, and Doubao.



large language models wiki.jpg


2. Dingchang's independently developed AIoTSmart Empowerment Platform + AIoT System Firmware + AIoT Application Firmware will have a greater role to play in project development with AI algorithmecological partners.


Cooperating customers can develop andimplement AI products in three major application scenarios: TO C, TO B, and TOG.


License Plate Recognition API DevelopmentPlatform.jpg



For example:

  • TO C: Knowledge Q&A, productrecommendation, virtual fitting entertainment, manicure reference.

  • TO B: Intelligent platform perception,product recommendation, intelligent trigger control, safety productionspecifications, monitoring, OCR recognition, barcode recognition, etc.

  • TO G: Recognition of people, vehicles,and other objects.


Note from Dingchang editor: TO C refers tothe consumer end, TO B refers to the business end, and TO G refers to the government end.


Attached: RK3576 AI Algorithm DevelopmentBoard.


DC_A576 - RK3576 Integrated Motherboard -Interface Diagram.jpg


Attached: RK3588 AI Algorithm DevelopmentBoard.

A588 - RK3588 Domestic Android/Linux,Starkylin, Kylin Industrial-Grade Development Motherboard - InterfaceDiagram.jpg




If you have any questions, please feel free to call or contact our customer service for further information.


DING CHANG R&D.jpg


DING CHANG R&D.jpg


Dingchang's 2025 AIoT hardware development boards and AIoT Smart AI algorithm platform willhelp ecological partners solve the implementation and deployment of complex AIalgorithms, reducing the development threshold for AI algorithms and products.Welcome to inquire.

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