Google has recently opened pre-orders for the Coral Dev Board Micro, its first microcontroller development board

Google has recently opened pre-orders for the Coral Dev Board Micro, its first microcontroller development board. The Coral Dev Board Micro is designed to support machine learning and AI applications at the edge. It’s a compact and powerful single-board computer that can be used for a variety of purposes, including prototyping, development, and production.

One of the key features of the Coral Dev Board Micro is its powerful Edge TPU coprocessor. The Edge TPU is a custom ASIC (Application-Specific Integrated Circuit) designed by Google to perform fast and efficient inferencing on low-power devices. This allows the Coral Dev Board Micro to run machine learning models locally, without relying on the cloud. This is particularly useful for applications that require low latency and high reliability, such as autonomous vehicles, drones, and robotics.

Coral Dev Board Micro Specification
Processor	MediaTek MT8183, Octa-core Arm Cortex-A73/A53 processor
Edge TPU Coprocessor	Custom ASIC designed by Google for fast and efficient inferencing on low-power devices
Memory	2GB LPDDR4
Storage	16GB eMMC 5.1
Connectivity	Wi-Fi (802.11b/g/n/ac), Bluetooth 4.2, Gigabit Ethernet
I/O Options	GPIO, I2C, UART, etc.
Machine Learning Framework Support	TensorFlow Lite
Operating System	Debian Linux
Dimensions	69mm x 45mm

Another important feature of the Coral Dev Board Micro is its compatibility with popular machine learning frameworks. It supports TensorFlow Lite, which is an open-source deep learning framework developed by Google. This makes it easy for developers to get started with machine learning on the Coral Dev Board Micro, as they can use the same tools and frameworks they are already familiar with.

The Coral Dev Board Micro is also equipped with a variety of connectivity options, including Wi-Fi, Bluetooth, and Gigabit Ethernet. This makes it easy to connect to other devices, sensors, and networks. It also has a variety of I/O options, including GPIO, I2C, and UART, which makes it easy to interface with a wide range of sensors and actuators.

In conclusion, the Coral Dev Board Micro is a powerful and versatile microcontroller development board that is ideal for machine learning and AI applications at the edge. With its Edge TPU coprocessor, compatibility with popular machine learning frameworks, and extensive connectivity options, it is a great choice for developers looking to bring AI to the edge. Google has opened pre-orders for the Coral Dev Board Micro, so be sure to get yours today!