RDK X5 Edge AI Development Board – 8GB LPDDR4 | Wi-Fi 6, CAN-FD, Sunrise 5 SoC

The RDK X5 is a powerful Edge AI development board built around the high-performance Sunrise 5 SoC, delivering up to 10 TOPS for AI inference tasks. Designed for developers, educators, and robotics enthusiasts, the RDK X5 offers a compact yet robust platform for real-time computer vision, smart robotics, and edge computing applications.

With 8GB LPDDR4 memory, Wi-Fi 6, and Bluetooth 5.4, it ensures seamless wireless connectivity, while interfaces like MIPI CSI (stereo camera support), CAN-FD, and UART make it ideal for robot control, autonomous navigation, and industrial IoT solutions.

 Key Features

• Powered by Sunrise 5 SoC with up to 10 TOPS AI performance
• 8GB LPDDR4 RAM for smooth edge inference and multitasking
• Dual MIPI CSI interface – ideal for stereo vision and object detection
• Wi-Fi 6 + Bluetooth 5.4 wireless connectivity
• Supports CAN-FD, UART, GPIO, USB 3.0/2.0
• 3.5mm audio jack and microSD card slot
• Multiple power input options: USB-C, header, optional PoE

Technical Specifications

What's Included

• 1 × RDK X5 Development Board (8GB)
  
• 1 × Quick Start Guide

 Ideal For

• Robotics and drone control systems
• Edge AI applications and inference engines
• Smart vision and stereo camera projects
• IoT development and remote sensing

Compatible with popular frameworks such as TensorFlow Lite, ONNX, and custom AI models.

Compared to RDK X3, RDK X5 offers stronger performance from CPU to BPU, boosting computing power and speeding up AI algorithm execution.

Key Features

PoE Power Supply (Module Sold Separately)

Real-Time Clock

Multi-Standard Headphone Jack

CAN FD High-Speed Interface

8GB DRAM

Dual MIPI Input

Wi-Fi 6 + Bluetooth 5.4

Debug Serial Port

A New Way to Upgrade Boards

Automatically acquire the latest RDK OS — a single data cable is all you need for a quick and easy upgrade.

1. Insert the SD card into the SD card slot

2. Connect the board to your computer using a Type-C cable

3. Use another Type-C cable to briefly power the board

4. Press the switch on the board while powering it on

Application Examples

Over 200 open-source algorithms and solutions to accelerate application development.
Covers everything needed for robotics development—from sensors and algorithms to application samples.

1. Deep Learning Line-Following Car

2. Visual-Inertial Odometry

3. Human Keypoint Detection

4. Object Picking

5. Cartographer Lidar SLAM

6. Trajectory Tracking