Coral G313-06329-00 CMOS System-On-Chip 120-Pin LGA

The Coral Accelerator Module is a multi-chip module (MCM) designed to perform high-speed inferencing for machine learning (ML) models. It includes the Edge TPU ML accelerator with integrated power control, and it can be connected over a PCIe Gen2 x1 or USB2 interface. The Edge TPU is a small ASIC designed by Google that accelerates Tensor Flow Lite models in a power efficient manner: it's capable of performing 4 trillion operations per second (4 TOPS), using 2 watts of power—that's 2 TOPS per watt.

Integrated power management