ASUS Tinker Edge R RK3399 Pro 6GB
RK3399Pro+Rockchip NPU - ARM Mali-T860 MP4 GPU - Rockchip NPU - Dual-CH LPDDR4 4GB+ 2GB (NPU) - 16GB eMMC - Gigabit Ethernet - 802.11ac - Bluetooth 5.0 - Pico-ITX
Brand: ASUS
SKU: 90ME00M0-M0EAY0
£112.11
Price excl. VAT
£134.53
Price incl. VAT
Out of stock
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NOTE: The information below is provided for your convenience only; the accuracy of the specifications cannot be guaranteed. However, if necessary, please check with us before purchasing. Data provided by 1 World Sync.
General
Processor frequency
1.8 MHz
Processor manufacturer
Rockchip
Processor model
Rockchip RK3399Pro
Maximum internal memory
6 GB
Internal memory type
LPDDR4-SDRAM
Memory channels
Dual-channel
USB version
3.2 Gen 1 (3.1 Gen 1)
Wi-Fi
Y
Wi-Fi standards
802.11a,802.11b,802.11g,Wi-Fi 4 (802.11n),Wi-Fi 5 (802.11ac)
Ethernet interface type
Gigabit Ethernet
On-board graphics adapter
Y
On-board graphics adapter model
ARM Mali-T860 MP4
DC input voltage
12 - 19 V
ASUS Tinker Edge R. Processor frequency: 1.8 MHz, Processor manufacturer: Rockchip, Processor model: Rockchip RK3399Pro. Maximum internal memory: 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 . On-board graphics adapter model: ARM Mali-T860 MP4. DC input voltage: 12 - 19 V
| Estimate Gross Weight | 0.217 |
|---|
https://tinker-board.asus.com/product/tinker-edge-r.html
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 (ML) 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 (ML) accelerator, the Tinker Edge R is capable of performing 3 tera-operations per second (TOPS), using low power consumption. And itΓÇÖs optimized for Neural Network (NN) architecture, which means Tinker Edge R can support multiple Machine Learning (ML) frameworks and let lots common 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 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
ASUS 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.
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.
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 (ML) 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 (ML) accelerator, the Tinker Edge R is capable of performing 3 tera-operations per second (TOPS), using low power consumption. And itΓÇÖs optimized for Neural Network (NN) architecture, which means Tinker Edge R can support multiple Machine Learning (ML) frameworks and let lots common 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 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
ASUS 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.
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.
- Arm big.LITTLE A72+A53 Hexa-core SoC
- Machine-Learning capability with Rockchip NPU
- Multiple MIPI-CSI & DSI / HDMI / Type-C (DP)
- 40-pin GPIOs & mPCIe for multiple expansions
- 12V~19V DC-in offers stable power delivery
- Linux & Android supported
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