Coral M.2 Accelerator A+E Key
Overview
The G650-04527-01 is a specialized ML accelerator in a compact M.2-2230 form factor designed to bring the Google Edge TPU to existing hardware. It provides high-performance machine learning inferencing for low-power devices, capable of performing 4 trillion operations per second (TOPS) using only 0.5W per TOPS.
Why Choose This Part
This module integrates seamlessly into any system with a compatible M.2 A+E key slot and PCIe Gen2 x1 interface, offering significant AI performance at a 500mA average current draw. The integrated power management and wide operating temperature range of -20C to +85C make it suitable for rugged industrial deployments.
Applications
Getting Started
To begin development, ensure your host system runs Linux or Windows and has a compatible M.2 slot. Engineers must use the Edge TPU compiler to convert TensorFlow Lite models into a format compatible with the hardware. Google provides the 'libedgetpu' runtime and various Python and C++ APIs to facilitate rapid integration.



