ASUS TINKER EDGE R//SBC MOTHERBOARD

Description

ASUS Tinker Edge R. Processor clock speed: 1.8 MHz, Processor manufacturer: Rockchip, Processor: Rockchip RK3399Pro. Maximum RAM: 6 GB, Internal memory type: LPDDR4-SDRAM, Memory channels: Dual-channel. USB version: 3.2 Gen 1 (3.1 Gen 1), Wi-Fi standards: 802.11a, 802.11b, 802.11g, Wi-Fi 4 (802.11n), Wi-Fi 5 (802.11ac), Ethernet interface type: Gigabit Ethernet. Built-in graphics card model: ARM Mali-T860 MP4. DC input voltage: 12 – 19 V

Ultimate performance for edge devices

AI accelerator (NPU)

The ASUS Tinker Edge R is a single-board computer (SBC) specifically designed for AI applications. It uses the Rockchip NPU, a machine learning (ML) accelerator that increases processing efficiency, reduces power consumption, and facilitates the development of connected devices and smart applications. With this integrated machine learning (ML) accelerator, the Tinker Edge R is capable of performing 3 tera operations per second (TOPS) with low power consumption. It is also optimized for neural network (NN) architecture, meaning the Tinker Edge R can support multiple machine learning (ML) frameworks and many popular machine learning (ML) models can be easily compiled and run on the Tinker Edge R.

Advanced power design
Most SBC motherboards only offer a 15-watt (5V 3A) power supply, which can lead to instability when multiple devices are connected. Other SBCs have power supply designs that reduce the performance of their I/O ports. The Tinker Edge R features a special power supply design that, together with the dual DC and pin-header power supply, delivers up to 65 watts of power, enabling stable system operation and full I/O performance, even with multiple devices connected. In addition, exclusive power supply protection is automatically activated when the current and voltage change significantly, effectively protecting the board and all connected devices.

Rockchip RK3399PRO processor
With its powerful and modern hex-core Arm® Cortex®-based Rockchip RK3399Pro A72 + A53 processor powered by Arm® big.LITTLE™ technology, the Tinker Edge R offers a high-performance solution for graphics, machine vision, video, audio, voice, and safety-critical applications. The Tinker Edge R features 4GB of dual-channel LPDDR4 system memory, the fourth generation of low-power DDR DRAM technology, which delivers faster speeds and even lower power consumption for improved system performance and efficiency. It also features 2GB of discrete memory for the NPU, delivering faster speeds, improved stability, and high efficiency for ML inference. The ASUS Tinker Edge R is also equipped with an integrated 16GB eMMC and SD 3.0 interface, providing significantly faster read and write speeds for the operating system, applications, and file storage.

More connectivity options for developers
The ASUS Tinker Edge R features a comprehensive I/O interface, including one MIPI-DSI connector for displays and touchscreens and two MIPI-CSI connectors for compatible cameras to enable computer vision for applications such as depth sensing, smart vending machines, and interactive advertising. The Tinker Edge R also benefits from a developer-friendly design that offers many carefully considered features to provide an excellent experience for both novice and experienced tinkerers. In addition, the Tinker Edge R includes a full-size HDMI port, USB Type-A, USB Type-C, Gigabit LAN, Wi-Fi, and Bluetooth for internet and network connections—and a PCI Express® mini slot for a 4G/LTE expansion card.

Improved user experience

Tools for machine learning developers
ASUS provides a robust API and SDK that allow users to easily deploy ML models for applications such as image classification and object detection into Tinker Edge R. It also supports model conversion from Caffe, TensorFlow, TensorFlow Lite, ONNX, Darknet, and others.

OS Flash Tool
The Tinker Edge R comes with an intuitive OS flash tool that allows you to easily flash the operating system to the built-in eMMC drive, allowing you to get your system up and running quickly. We strongly recommend that you regularly back up all data stored on the device.