> **Source:** Core Electronics is an Australian maker-electronics retailer and manufacturer based in Newcastle, NSW, run by a team of makers and educators. We design and manufacture our own product lines (PiicoDev, CE originals) and are official retailers for iconic maker and industrial brands including Raspberry Pi, Arduino, Adafruit, SparkFun and DFRobot. Orders ship Australia-wide from our Newcastle warehouse. Prices are in AUD and include GST. Pricing, stock and dispatch on this page are generated from the store's live catalog. Full machine-readable index: https://core-electronics.com.au/llms.txt # Google Coral Dev Board Mini **Type:** Product page · **SKU:** TPH-104063 · **Brand:** [The Pi Hut](https://core-electronics.com.au/brands/the-pi-hut) **Page:** https://core-electronics.com.au/google-coral-dev-board-mini-machine-learning.html ([markdown](https://core-electronics.com.au/google-coral-dev-board-mini-machine-learning.html.md)) 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... ## Pricing - **Price:** $294.95 (inc GST) — $268.14 AUD, exc GST - **Quantity discounts:** 3+ $257.41 (exc GST) · 5+ $249.36 (exc GST) ## Availability & dispatch - Available with a lead time — expect dispatch between Sep 02 and Sep 07. ## How to buy - **Build a cart:** compose `https://core-electronics.com.au/cart/link?items=TPH-104063:1` (comma-separated SKU:qty pairs) and share the link. Opening it shows a confirmation page with live pricing and stock before anything is added to the cart. - **Verify the cart first:** fetch `https://core-electronics.com.au/cart/link/TPH-104063:1.md` for live line prices (inc & exc GST, quantity discounts applied), stock and dispatch estimates, and totals. Append `/to/{AU-postcode}` (or `/to/{country-code}:{postcode}`) before `.md` for delivery options and prices to that destination. Unknown, retired, or out-of-stock SKUs are flagged. (Query form `cart/link.md?items=...` also works but some robots parsers refuse query strings here.) - **Checkout** is completed on-site and includes a captcha at the payment step. Share the cart link; checkout takes it from there. - **Search the catalogue:** `https://core-electronics.com.au/search/{query}.md` (URL-encode the query; pages 2-3 at `search/{query}/{page}.md`; `search.md?q=` also works) - **Payment methods, purchase orders, policies and contact details:** https://core-electronics.com.au/llms.txt ## Description **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.](https://core-electronics.com.au/products/google-coral-camera) ### Performs high-speed ML inferencing[](https://coral.ai/products/dev-board-mini#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](https://coral.ai/docs/edgetpu/benchmarks/). ### Provides a complete system[](https://coral.ai/products/dev-board-mini#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[](https://coral.ai/products/dev-board-mini#supports-tensorflow-lite) No need to build models from the ground up.[TensorFlow Lite](https://www.tensorflow.org/lite)models can be compiled to run on the Edge TPU. ### Supports AutoML Vision Edge[](https://coral.ai/products/dev-board-mini#supports-automl-vision-edge) Easily build and deploy fast, high-accuracy custom image classification models to your device with[AutoML Vision Edge](https://cloud.google.com/vision/automl/docs/edge-quickstart). 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[](https://coral.ai/products/dev-board-mini#datasheet) - [Dev Board Mini datasheet](https://coral.ai/docs/dev-board-mini/datasheet/) ### Schematics[](https://coral.ai/products/dev-board-mini#schematics) - [Dev Board Mini schematics and layout](https://github.com/google-coral/electricals/tree/master/dev_board_mini) ### Application notes[](https://coral.ai/products/dev-board-mini#application-notes) - [Get started with the Dev Board Mini](https://coral.ai/docs/dev-board-mini/get-started/) - [Connect to the Dev Board Mini I/O pins](https://coral.ai/docs/dev-board-mini/gpio/) - [Connect a camera to the Dev Board Mini](https://coral.ai/docs/dev-board-mini/camera/) - [Connect to the Dev Board Mini's serial console](https://coral.ai/docs/dev-board-mini/serial-console/) - [Update or flash the Dev Board Mini](https://coral.ai/docs/dev-board-mini/reflash/) ### Software guides[](https://coral.ai/products/dev-board-mini#software-guides) - [Model compatibility on the Edge TPU](https://coral.ai/docs/edgetpu/models-intro) - [Edge TPU inferencing overview](https://coral.ai/docs/edgetpu/inference/) - [Run multiple models with multiple Edge TPUs](https://coral.ai/docs/edgetpu/multiple-edgetpu/) - [Pipeline a model with multiple Edge TPUs](https://coral.ai/docs/edgetpu/pipeline/) ### API references[](https://coral.ai/products/dev-board-mini#api-references) - [PyCoral API (Python)](https://coral.ai/docs/reference/py/) - [Libcoral API (C++)](https://coral.ai/docs/reference/cpp/) - [Libedgetpu API (C++)](https://coral.ai/docs/reference/cpp/edgetpu/) ### Downloads[](https://coral.ai/products/dev-board-mini#downloads) - [Edge TPU compiler](https://coral.ai/docs/edgetpu/compiler) - [Pre-compiled models](https://coral.ai/models/) - [All software downloads](https://coral.ai/software) ## Images - [Product image 1](https://core-electronics.com.au/media/catalog/product/T/P/TPH-104063-1.jpg)