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Coral USB Accelerator

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

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Description

A USB accessory that brings machine learning inferencing to existing systems. Works with Raspberry Pi and other Linux systems.

Return for refund within: 30 days
Return for replacement within: non-replaceable
This item is covered by Zyngear Return Policy
*Subject to applicable law
Warranty Notice:
This product does not include manufacturer warranty when purchased or used outside of its designated sales region. By purchasing internationally, you acknowledge that warranty support from the manufacturer will not be available.