AIoT-3576E – 8-Core AI Computing Motherboard

AIoT-3576E 8-core AI computing motherboard with RK3576, 6TOPS NPU. For AI video analysis, edge computing.

Description

8-Core High-Performance Processor

Powered by the Rockchip RK3576 processor, the AIoT-3576E features a big.LITTLE architecture with 4x Cortex-A72 and 4x Cortex-A53 cores on an 8nm process, reaching up to 2.2GHz.
Paired with the Android 14.0 operating system, it delivers superior energy efficiency and multi-tasking capability—ideal for AI edge computing and high-performance terminal applications.

Multi-OS Compatibility

AIoT-3576E supports multiple operating systems:

  • Android 14
  • Linux OS
  • OpenHarmony

This ensures broad software flexibility and platform security for developers and integrators in enterprise environments.

4K@120Hz Ultra HD Visual Output

The Mali G52 MC3 GPU and integrated image processing algorithms provide:

  • Contrast enhancement
  • Noise reduction
  • Brightness and color optimization
  • 4K (3840×2160) decoding at up to 120Hz

Supports:

  • LVDS / eDP / DP OUT via Type-C (OTG)
  • DP bandwidth: 62 / 2.7 / 5.4 / 8.1 Gbps on 1/2/4 lanes
  • Dual-display output with independent screen content

Perfect for AI vision systems, interactive terminals, and AI-powered kiosks.

Rich Expansion Interfaces

AIoT-3576E includes extensive I/O for industrial and AIoT devices:

  • 7 x USB ports (Type-C OTG, USB 3.0, USB 2.0, 4x via HUB)
  • 1 x RS485 port
  • 6 x Expandable serial ports (4 x TTL, 2 x RS232)
  • 1 x CAN port
  • 4 x GPIO ports
  • 2 x ADC ports

These interfaces provide full support for peripheral devices across multiple industrial and AI scenarios.

Advanced Network Connectivity

  • The board supports:
  • 10/100/1000M adaptive Ethernet port
  • WiFi 6 + Bluetooth 5.0, single antenna
  • Built-in PCI-E slot for 4G module
    Delivers stable, high-speed, and flexible communication for edge devices in dynamic networking environments.

Android System Customization & API Support

  • Android OS customization support
  • Complete API reference codes provided
  • Enables fast integration of upper-layer apps and UI frameworks tailored for industry-specific applications

Application Scenarios

The AIoT-3576E is ideal for high-performance AI computing on the edge, including:

AI Robots

  • Edge AI Cloud Servers
  • Smart AIoT Terminals
  • Industrial Control Hosts
  • Intelligent Access Control Devices
  • Multi-modal AI Analytics Systems
OEM / ODM AI Hardware Manufacturer

Build Smarter Devices With AI Motherboards & Edge Computing Boards

We provide high-performance RK3576 AI motherboards for machine vision, smart kiosks, robotics, industrial automation and embedded AI projects. Designed for stable long-term deployment.

✔ 8-Core CPU ✔ AI NPU Ready ✔ Android / Linux ✔ Multi Camera Support ✔ OEM Customization ✔ Global Shipping

Start Your AI Project

Tell us your AI workload, cameras, interfaces and quantity. Our engineers will recommend the right motherboard within 24 hours.

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FAQ

Frequently Asked Questions

Learn more about the AIoT-3576E AI computing motherboard, system support, interfaces, and OEM services.

What processor does the AIoT-3576E use?

The AIoT-3576E is powered by the RK3576 octa-core processor, designed for AI edge computing and embedded smart devices.

Does this motherboard support AI applications?

Yes. It is suitable for object detection, face recognition, machine vision, smart retail analytics, and other edge AI workloads.

Which operating systems are supported?

The board supports Android and Linux systems, depending on project requirements.

Can I connect cameras and displays?

Yes. The board supports common display interfaces and camera integration for AI vision and interactive devices.

Is OEM / ODM customization available?

Yes. We provide hardware customization, firmware support, logo branding, and project-based manufacturing services.

What applications is this board suitable for?

It is widely used in robotics, kiosks, industrial AI terminals, smart displays, machine vision systems, and automation equipment.

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