Google Coral Dev Board (4GB) [discontinued]

A development board to quickly prototype on-device ML products. Scale from prototype to production with a removable system-on-module (SoM). The Google Coral Dev Board 4GB is a single-board computer that's ideal when you need to perform fast machine learning (ML) inferencing in a small form factor. You can use the Dev Board to prototype your embedded system and then scale to production using the onboard Coral System-on-Module (SoM) combined with your custom PCB hardware. A camera module designed specifically for the Google Coral range is available here. Performs high-speed ML inferencing

The on-board Edge TPU coprocessor is capable of performing 4 trillion operations (tera-operations) per second (TOPS), using 0.5 watts for each TOPS (2 TOPS per watt). For example, it can execute state-of-the-art mobile vision models such as MobileNet v2 at almost 400 FPS, in a power efficient manner. See more performance benchmarks. Provides a complete system

A single-board computer with SoC + ML + wireless connectivity, all on the board running a derivative of Debian Linux we call Mendel, so you can run your favourite Linux tools with this board. Supports TensorFlow Lite

No need to build models from the ground up. TensorFlow Lite models can be compiled to run on the Edge TPU. Supports AutoML Vision Edge

Easily build and deploy fast, high-accuracy custom image classification models to your device with AutoML Vision Edge. Scale from prototype to production

Considers your manufacturing needs. The SoM can be removed from the baseboard, ordered in bulk, and integrated into your hardware. Additional 1GB SOM available here. Want to learn more about the Edge TPU and Coral platform? Read about our technology. Specification

CPU NXP i.MX 8M SoC (quad Cortex-A53, Cortex-M4F)

GPU Integrated GC7000 Lite Graphics

ML accelerator Google Edge TPU coprocessor: 4 TOPS (int8); 2 TOPS per watt

RAM

4 GB LPDDR4

Flash memory 8 GB eMMC, MicroSD slot

Wireless Wi-Fi 2x2 MIMO (802.11b/g/n/ac 2.4/5GHz) and Bluetooth 4.2

USB Type-C OTG; Type-C power; Type-A 3.0 host; Micro-B serial console

LAN Gigabit Ethernet port

Audio 3.5mm audio jack (CTIA compliant); Digital PDM microphone (x2); 2.54mm 4-pin terminal for stereo speakers

Video HDMI 2.0a (full size); 39-pin FFC connector for MIPI-DSI display (4-lane); 24-pin FFC connector for MIPI-CSI2 camera (4-lane)

GPIO 3.3V power rail; 40 - 255 ohms programmable impedance; ~82 mA max current

Power 5V DC (USB Type-C)

Dimensions 88 mm x 60 mm x 24mm

Resources

* Dev Board datasheet

* Dev Board schematics and layout

Application notes

* Get started with the Dev Board

* Connect to the Dev Board I/O pins

* Connect a camera to the Dev Board

* Connect to the Dev Board's serial console

* Update or flash the Dev Board

Software guides

* Model compatibility on the Edge TPU

* Edge TPU inferencing overview

* Run multiple models with multiple Edge TPUs

* Pipeline a model with multiple Edge TPUs

API references

* PyCoral API (Python)

* Libcoral API (C++)

* Libedgetpu API (C++)

Downloads

* Edge TPU compiler

* Pre-compiled models

* All software downloads