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Google Coral Dev Board Mini

SKU: TPH-104063 Brand: The Pi Hut

A development board to quickly prototype on-device ML products. The Google Coral Dev Board Mini is a single-board computer that provides fast machine...

Special Price $251.52 AUD, inc GST

Regular Price $327.29 AUD, inc GST

$228.65 AUD, exc GST

Special pricing ends 14 July 2025

* this special may end earlier than shown

Available with a lead time
Expect dispatch between Apr 28 and May 02

A development board to quickly prototype on-device ML products.

The Google Coral Dev Board Mini is a single-board computer that provides fast machine learning (ML) inferencing in a small form factor. It's primarily designed as an evaluation device for theAccelerator Module(a surface-mounted module that provides the Edge TPU), but it's also a fully-functional embedded system you can use for various on-device ML projects.

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 favorite Linux tools with this board.

Supports TensorFlow Lite

No need to build models from the ground up.TensorFlow Litemodels 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 withAutoML Vision Edge.

Specifications

CPU	MediaTek 8167s SoC (Quad-core Arm Cortex-A35)
GPU	IMG PowerVR GE8300 (integrated in SoC)
ML accelerator	Google Edge TPU coprocessor: 4 TOPS (int8); 2 TOPS per watt
RAM	2 GB LPDDR3
Flash memory	8 GB eMMC
Wireless	Wi-Fi 5 (802.11a/b/g/n/ac); Bluetooth 5.0
Audio/video	3.5mm audio jack; digital PDM microphone; 2.54mm 2-pin speaker terminal; micro HDMI (1.4); 24-pin FFC connector for MIPI-CSI2 camera (4-lane); 24-pin FFC connector for MIPI-DSI display (4-lane)
Input/output	40-pin GPIO header; 2x USB Type-C (USB 2.0)

Resources

Datasheet

Dev Board Mini datasheet

Schematics

Dev Board Mini schematics and layout

Application notes

Software guides

API references

Downloads

This product is listed in:

Home Lab>Machine Learning

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Our physical address (here's a PDF which includes other key business details):

Unit 18, 132 Garden Grove Parade
Adamstown
NSW, 2289
Australia

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