Ultimate performance for edge device
AI accelerator (NPU)
ASUS Tinker Edge R is an Single Board Computer (SBC) specially designed for AI applications. It uses Rockchip NPU, a Machine Learning accelerator that speeds up processing efficiency, lowers power demands and makes it easier to build connected devices and intelligent applications. With this integrated Machine Learning accelerator, the Tinker Edge R is capable of performing 3 tera-operations per second (TOPS), using low power consumption. And it’s optimized for Neural Network architecture, which means Tinker Edge R can support multiple Machine Learning frameworks and let lots common Machine Learning models can be easily compiled and run on the Tinker Edge R.
A single inference time with several popular models
Advanced Power Design
Most SBC motherboards only offer a 15 watt (5V 3A) power design, which can cause device and system instability when there are multiple connected devices. Other SBCs have power designs that lower the performance of their I/O ports. Tinker Edge R has a special power design that, together with DC and pin header dual power supply, delivers up to 65 watts of power, enabling stable system operation and full I/O performance, even with multiple connected devices. Additionally, an exclusive power-protection design activates automatically if the supplied 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, Tinker Edge R offers a powerful solution for graphics, machine vision, video, audio, voice and safety-critical applications. Tinker Edge R features 4 GB of dual-channel LPDDR4 memory for system, the 4th generation of low-power DDR DRAM technology, offering faster speeds and even lower power consumption for improved system performance and efficiency. It also boats 2 GB of standalone memory for the NPU, offering faster speeds, improved stability and high efficiency for ML inference.
ASUS Tinker Edge R also comes equipped with an onboard 16 GB eMMC and SD 3.0 interface that offers significantly faster read and write speeds for the operating system, applications and file storage.
More connectivity options for Developers
Tinker Edge R features a rich I/O interface, including one MIPI-DSI connection for displays and touch screens, and two MIPI-CSI connections for compatible cameras to enable computer vision for applications such as depth measurement, smart vending machine and interactive advertising.
Tinker Edge R also benefits from a developer-friendly design that offers many carefully considered features to provide a superior experience for first-time builders and seasoned hobbyists alike. As well, Tinker Edge R boats a full-size HDMI port, USB Type-A, USB Type-C, gigabit LAN and Wi-Fi and Bluetooth for internet and network connectivity – and also a mini PCI Express® Mini slot for 4G/LTE extension card.
Enhanced User Experience
Machine Learning Developer Tools
ASUS provides a robust API and SDK that enables users to deploy ML models to Tinker Edge R easily for applications such as image classification and object detection. It also supports model conversion from Caffe, TensorFlow, TensorFlow Lite, ONNX, Darknet and more.
OS Flash Tool
Tinker Edge R comes with a Intuitive OS flash tool that enables easy OS image flashing to onboard eMMC drive, enabling you to get your system up and running quickly.