For prototyping
Our prototyping products make it easy to take your idea from sketch into proof-of-concept.
For production
Our production products integrate seamlessly into processes at any scale, helping create tailored solutions for your industry.
For sensing
Our sensing products help deliver the real-world data you need to your machine learning system.
Prototyping products
Dev Board
A single-board computer with a removable system-on-module (SoM) featuring the Edge TPU.
- Supported OS: Mendel Linux (derivative of Debian)
- Supported Framework: TensorFlow Lite
- Languages: Python and C++
- Datasheet
USB Accelerator
A USB accessory featuring the Edge TPU that brings ML inferencing to existing systems.
- Supported host OS: Debian Linux, macOS, Windows 10
- Compatible with Raspberry Pi boards
- Supported Framework: TensorFlow Lite
- Datasheet
Dev Board Mini
A single-board computer featuring the Edge TPU.
- Supported OS: Mendel Linux (derivative of Debian)
- Supported Framework: TensorFlow Lite
- Languages: Python and C++
- Datasheet
Dev Board Micro
A microcontroller board with a camera, mic, and Coral Edge TPU.
- NXP i.MX RT1176 MCU (Cortex-M7 and Cortex-M4)
- Himax color camera (324 x 324 px)
- PDM mono microphone
- Supports TensorFlow Lite for Microcontrollers
Production products
Mini PCIe Accelerator
A PCIe device that enables easy integration of the Edge TPU into existing systems.
- Supported host OS: Debian Linux
- Half-size Mini PCIe form factor
- Supported Framework: TensorFlow Lite
- Datasheet
M.2 Accelerator A+E key
A PCIe device that enables easy integration of the Edge TPU into existing systems.
- Supported host OS: Debian Linux
- M.2 (A+E key) form factor
- Supported Framework: TensorFlow Lite
- Datasheet
M.2 Accelerator B+M key
A PCIe device that enables easy integration of the Edge TPU into existing systems.
- Supported host OS: Debian Linux
- M.2 (B+M key) form factor
- Supported Framework: TensorFlow Lite
- Datasheet
M.2 Accelerator with Dual Edge TPU
A PCIe device that enables easy integration of two Edge TPUs into existing systems.
- Supported host OS: Debian Linux and Windows 10
- M.2 (E key) form factor
- Supported Framework: TensorFlow Lite
- Datasheet
System-on-Module (SoM)
A fully-integrated system for accelerated ML applications in a 40mm x 48mm pluggable module.
- Supported OS: Mendel Linux (derivative of Debian)
- Supported Framework: TensorFlow Lite
- Languages: Python and C++
- Datasheet
Accelerator Module
A solderable multi-chip module including the Edge TPU
- Surface-mounted module
- Supported serial interface: PCIe Gen 2 x1 and USB 2.0
- Supported Framework: TensorFlow Lite
- Datasheet
Accessories
Camera
5-megapixel camera module that's compatible with the Dev Board and Dev Board Mini.
- Omnivision Sensor
- Autofocus
- Auto exposure control
- 25 mm x 25 mm
- Datasheet
Wireless Add-on board for Dev Board Micro
Provides wireless connectivity for the Coral Dev Board Micro.
- 2.4 GHz and 5 GHz Wi-Fi
- Bluetooth 5.0
PoE Add-on board for Dev Board Micro
Provides Ethernet-based connectivity and power for the Coral Dev Board Micro.
- 10 and 100 Mbps
- IEEE 802.3af PoE
Environmental Sensor Board
An accessory board that provides temperature, light and humidity sensors for IoT applications.
- Compatible with Coral and Raspberry Pi boards
- Built to work with Cloud IOT Core
- Datasheet
Dev Board Micro Case
Provides protection and ease of use for the Coral Dev Board Micro and Coral add-on boards.
About our technology
Coral provides a complete platform for accelerating neural networks on embedded devices. At the heart of our accelerators is the Edge TPU coprocessor. It's a small-yet-mighty, low-power ASIC that provides high performance neural net inferencing.
Learn more about Coral technology
The products offered by Google are unrelated to the products offered under the CORAL trademarks owned by Orient Development Enterprises Ltd. in Taiwan.