Google Edge TPU New Hardware Device Coral Mini PCIe Accelerator Overview

Mini PCIe Accelerator: PCIe device that can easily integrate Edge TPU into existing systems.

The Coral Mini PCIe accelerator is a PCIe module that can integrate the Edge TPU chip into existing systems and products.

The Mini PCIe accelerator is a half-size Mini PCIe module card that can be adapted to any standard Mini PCIe slot. This form factor makes it easy to integrate into ARM and x86 platforms, so you can add native ML acceleration to products such as embedded platforms, small PCs, and industrial gateways.

Perform high-speed ML inference

The onboard Edge TPU coprocessor can perform 4 trillion operations per second (TOPS), using 0.5 watts per TOPS (2 TOPS per watt). It can execute the most advanced mobile vision models in a fairly low-cost way, such as the MobileNet v2 model at 400 FPS.

Use with Debian Linux

It can be integrated with any Debian-based Linux system and compatible card module slots.

Support TensorFlow Lite

No need to build models from scratch. The TensorFlow Lite model can be compiled and run on the Edge TPU.

Support AutoML Vision Edge

With AutoML Vision Edge, you can easily build and deploy high-speed, high-precision custom image classification models to your device.

Features:

· Google Edge TPU Machine Learning Accelerator

· Standard half-size Mini PCIe module card

· Supports Debian Linux and other CPU versions

System Requirements:

Coral Mini PCIe acceleration needs to be connected to a host with the following specifications:

· Any Linux computer with compatible Mini PCIe module slot

· Support Debian 6.0 or higher, or any derivative system (such as Ubuntu 10.0+)

· X86-64 or ARM32/64 system architecture with ARMv8 instruction set

Machine learning acceleration: Google Edge TPU auxiliary processor

Connector: Half-size Mini PCIe

Dimensions: 30 mm x 26.8 mm

About Google Coral

Last year Google released Coral. This platform, which contains hardware components and software tools, allows developers to easily achieve local AI products from prototype to scale. The Coral Edge TPU product portfolio, including Coral Dev Board, USB Accelerator and PCIe Accelerator, is now available in 36 countries and areas. Since the product was released, developers have built on Coral with various applications covering many industries, including healthcare, agriculture, smart cities, etc..

About Edge TPU:

The Edge TPU is Google's ASIC specifically designed to run AI at the edge. It has a small size, low energy consumption.But with excellent performance, it allows you to deploy high-precision AI on the edge. Edge TPU is not just a hardware solution. It combines custom hardware, open source software and the most advanced AI algorithms to provide high-quality, easy-to-deploy AI solutions for the edge. Due to its excellent performance, small size, and extremely low energy consumption, the Edge TPU enables the widespread deployment of high-quality AI at the edge.
Edge TPU can be used in more and more industries, such as predictive maintenance, anomaly detection, machine vision, robotics, speech recognition, etc. It can be applied in various fields such as manufacturing, local deployment, healthcare, retail, smart space, transportation and so on.

If you are interested in Google Coral Edge TPU series hardware products, please visit Google Coral agent Gravitylink online store (https://store.gravitylink.com/global) to order. Enterprise users can also obtain preferential prices for bulk orders through email consultation. (sales@gravitylink.com / market@gravitylink.com)