Google Coral System-on-Module (SoM) – 1GB [Discontinued]

A fully-integrated system for accelerated ML applications (includes CPU, GPU, Edge TPU, Wi-Fi, Bluetooth, and Secure Element), in a 40mm x 48mm pluggable module.

The Google Coral System-on-Module (SoM) is a fully-integrated system that helps you build embedded devices that demand fast machine learning (ML) inferencing. It contains NXP’s iMX 8M system-on-chip (SoC), eMMC memory, LPDDR4 RAM, Wi-Fi, and Bluetooth, but its unique power comes from Google’s Edge TPU coprocessor for high-speed machine learning inferencing.

Provides a complete system

The Coral SoM is a fully-integrated Linux system that includes NXP’s iMX8M system-on-chip (SoC), eMMC memory, LPDDR4 RAM, Wi-Fi, and Bluetooth, and the Edge TPU coprocessor for ML acceleration. It runs a derivative of Debian Linux we call Mendel.

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.

Integrates with your custom hardware

The SoM connects to your own baseboard hardware with three 100-pin connectors.

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.

Also available with a baseboard as part of the Coral Dev Board.

Specifications

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	1 GB LPDDR4
Flash memory	8 GB eMMC
Wireless	Wi-Fi 2×2 MIMO (802.11b/g/n/ac 2.4/5GHz) and Bluetooth 4.2
Dimensions	48mm x 40mm x 5mm

Resources