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AIO-3588JD4 AI Motherboard RK3588

AIO-3588JD4 AI Motherboard RK3588

Regular price $359.00 USD
Regular price Sale price $359.00 USD
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AIO-3588JD4 AI Motherboard RK3588 is a Firefly product sold by Ai-Paipai. Key specifications — Soc: Rockchip RK3588 · Ai performance: Support the privatization deployment of… · Ram: LPDDR4/LPDDR4x (4GB/8GB/16GB optional, up to 32GB) · Storage: eMMC (32GB/64GB/128GB/256GB optional) · Video output: 1 × HDMI2.1 (8K@60fps or 4K@120fps). Typical applications: edge AI inference, machine vision and IoT gateway deployments. Ai-Paipai (Shenzhen AiPaipai Intelligent Technology Co., Ltd.) is an authorized distributor providing local technical support, pre-installed SDK / OS images, OEM / ODM customization, and worldwide shipping.

✅ Authorized Distributor — Ai-Paipai (Shenzhen AiPaipai Intelligent Technology Co., Ltd.)

This product is supplied by an authorized distributor of the original brand. We provide local technical support, pre-installed SDK / mirror images, and OEM / ODM customization, plus fast global shipping.

The AIO-3588JD4 motherboard is a powerful embedded computing board designed for AI and edge computing applications. With 6 TOPS of NPU computing power, it delivers efficient AI acceleration for machine learning and deep learning tasks. This board enables private deployment of large AI models, ensuring secure and flexible on-device intelligence. It supports multiple deep learning frameworks, making it easy for developers to deploy and optimize AI algorithms. Additionally, it features 8K ultra-HD video decoding, ideal for high-resolution video processing, smart vision systems, and edge AI solutions.

Perfect for industrial automation, smart cities, AIoT, and robotics, the AIO-3588JD4 offers high performance, scalability, and reliability for next-generation AI applications.

Feature

  • Octa-core AI Processor RK3588: The AIO-3588JD4 is equipped with Rockchip's flagship processor, the RK3588, an octa-core 64-bit CPU that delivers 6 TOPS of computing power, enhancing performance for AI application scenarios.
  • Custom Private Deployment of AI Models: Supports private deployment of rich parameter models based on the Transformer framework, including Gemma-2B, ChatGLM3-6B, Qwen1.5-1.8B, Phi-3-3.8B and other rich language models.
  • Decoding of 8K Ultra-High Definition Video: It supports 8K HD video decoding, presenting clearer images and richer details, and adopts a 2D hardware engine to significantly improve display performance.
  • Industrial-Grade Stability: Supports external watchdog timer and industrial-grade stability. Compatible with multiple operating systems, it is suitable for ARM PCs, edge computing, cloud servers, smart NVRs, and other fields.

Hardware Overview


Shipping list

  • Main unit × 1
  • Power adapter / cable (region plug on request) × 1
  • Accessories vary by configuration — contact us for the exact included list.
Ai performance
Support the privatization deployment of ultra-large-scale parametric models under the Transformer architecture, such as Gemma-2B, ChatGLM3-6B, Qwen-1.8B, Phi-3-3.8B and other large language models It supports traditional network architectures such as CNN, RNN, and LSTM, and supports the import and export of RKNN models; Support a variety of deep learning frameworks, including TensorFlow, TensorFlow Lite, PyTorch, Caffe, ONNX and Darknet. It also supports the development of custom operators Support Docker container management technology
Soc
Rockchip RK3588
Cpu
Octa-core 64-bit processor (4×Cortex-A76+4×Cortex-A55), main frequency up to 2.4GHz
Gpu
ARM Mali-G610 MP4 quad-core GPU, support OpenGL ES3.2/OpenCL 2.2/Vulkan1.1, 450 GFLOPS
Npu
The computing power is up to 6TOPS(INT8), support INT4/INT8/INT16 mixed operations
Ram
LPDDR4/LPDDR4x (4GB/8GB/16GB optional, up to 32GB)
Storage
eMMC (32GB/64GB/128GB/256GB optional)
Storage expansion
1 × TF Card, 1 × M.2 (Expandable SATA 3.0/PCIe NVMe SSD, supports 2242/2260/2280 specifications)
Power
DC 12V (5.5mm × 2.1mm, support 9V~24V wide voltage input)
Power consumption
Max: 14.4W(12V/1200mA), Normal: 4.8W(12V/400mA), Min: 0.636W(12V/53mA)
Video output
1 × HDMI2.1 (8K@60fps or 4K@120fps)
Video input
2 × MIPI CSI DPHY (1×4lanes or 2×2lanes, 30Pin-0.5mm), Line in (Led by double row headers)
Audio
1 × 3.5mm Audio jack (Support MIC recording, American Standard CTIA)
Os
Android, Linux
Dimension
122.89mm × 85.04mm × 22.46mm
Weight
≈120g
Environment
Operating Temperature: -20℃~60℃, Storage Temperature: -20℃~70℃, Storage Humidity: 10%~90%RH(non-condensing)
Watchdog
Independent watchdog
Usb
2 × USB3.0 (Max: 1A; UP: USB3.0(1), reused with 5G; DOWN: USB3.0(2))
Other
1 × Type-C (OTG), 1 × FAN (4Pin-1.25mm), 1 × SIM Card 1 × Double-row pin headers (2×10-20PIN-2.0mm): USB2.0, SPI, 2×I2C, Line in, Line out, GPIO 1 × Phoenix connector (2×4Pin, 3.5mm pitch): 1 × RS485, 1 × RS232, 1 × CAN 2.0
Sdk software and firmware files
Click Here
Product tutorialsClick Here
Product datasheetClick Here
SDK software and firmware filesClick Here

Document links will be replaced with the official Firefly resource URLs on request.

Our cooperating carriers: FedEx, DHL, UPS, SF Express

Delivery Area And Cost

Country/Region 0–2kg 2–3kg 3–4kg 4–5kg 5–6kg 6–7kg 7–8kg 8–9kg 9–10kg
Japan, Taiwan, Hong Kong, Macau $15 $20 $25 $30 $35 $40 $45 $50 $55
Singapore, Thailand, Malaysia $20 $25 $30 $35 $40 $45 $50 $55 $60
Indonesia, Philippines $25 $30 $40 $50 $60 $70 $80 $85 $95
South Korea $25 $35 $35 $45 $45 $55 $55 $65 $65
United States, Australia, New Zealand, Canada, UK, and most of Western Europe $30 $45 $55 $65 $75 $85 $95 $105 $115
Other regions (Eastern Europe, Middle East, Latin America, etc.) $50 $65 $80 $95 $110 $125 $135 $150 $165

Shipping time is for reference only; the actual situation shall prevail.

Why Buy From Ai-Paipai?
  • Authorized & Genuine — sourced directly from brand-approved channels.
  • Local Engineering Support — datasheets, SDKs, and pre-flashed images in English and Chinese.
  • OEM / ODM & FPGA Customization — tailor specs, enclosures, and BSP for your project.
  • One-Stop Sourcing — Firefly + youyeetoo + our own FPGA / edge lineup in one store.
View full details

Frequently asked questions

What is AIO-3588JD4 AI Motherboard RK3588 used for?
AIO-3588JD4 AI Motherboard RK3588 is a Motherboard / SBC from Firefly. It is typically used in embedded computing, edge AI inference, industrial control and rapid prototyping, and can be integrated into custom carrier boards or finished devices.

Does AIO-3588JD4 AI Motherboard RK3588 include technical support, datasheets or pre-flashed images?
Yes. Ai-Paipai supplies this item as an authorized distributor and provides local engineering support, datasheets, SDKs and pre-flashed system images where applicable, plus OEM / ODM customization for volume projects.

Can I order AIO-3588JD4 AI Motherboard RK3588 with OEM / ODM options or CE / FCC / RoHS certification?
OEM / ODM customization (specs, enclosure, BSP) is available, and CE / FCC / RoHS certified options can be provided on request for EU and US imports. Contact us for a quote.

How is AIO-3588JD4 AI Motherboard RK3588 shipped, and what is the lead time?
Orders ship worldwide from Shenzhen. Stock items typically dispatch within a few business days; configurable or made-to-order variants take longer. Exact lead time is shown at checkout or on request.

Specifications

Product Datasheet Click Here
Octa-core AI Processor RK3588 The AIO-3588JD4 is equipped with Rockchip's flagship processor, the RK3588, an octa-core 64-bit CPU that delivers 6 TOPS of computing power, enhancing performance for AI application scenarios.
Custom Private Deployment of AI Models Supports private deployment of rich parameter models based on the Transformer framework, including Gemma-2B, ChatGLM3-6B, Qwen1.5-1.8B, Phi-3-3.8B and other rich language models.
Decoding of 8K Ultra-High Definition Video It supports 8K HD video decoding, presenting clearer images and richer details, and adopts a 2D hardware engine to significantly improve display performance.
Industrial-Grade Stability Supports external watchdog timer and industrial-grade stability. Compatible with multiple operating systems, it is suitable for ARM PCs, edge computing, cloud servers, smart NVRs, and other fields.