USB Accelerator Semiconductor Development Kit Accessory for Raspberry Pi, G950-06809-01

It includes a usb-c slot for connecting the host to perform accelerated ml inference. On-board Edge Technology Support (tops) is a small asic designed by to speed up tengorflow lite models in an energy efficient way: It can perform 4 trillion operations per second (4 tops) at 2 Watts of power.

• A USB accessory that brings machine learning inferencing to existing systems. Works with Raspberry Pi and other Linux systems
• 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 400 FPS, in a power efficient manner
• Works with Debian Linux: connects to any debian-based Linux system with an included USB 3.0 Type-C cable
• Supports tensorflow Lite: no need to build models from the ground up. Tensorflow Lite models can be compiled to run on the edge TPE
• Supports automl vision edge: easily build and deploy fast, high-accuracy custom image classification models to your device with automl vision edge
• Ml Accelerator: Google edge TPU Coprocessor
• Connector: USB 3.0 Type-C (data/power)
• Dimensions: 65 millimeter x 30 millimeter
• It uses usb 3.0