Google Coral USB Accelerator 人工智慧 USB加速器

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描述

Google Coral USB Accelerator 人工智慧 USB加速器

Google Coral USB Accelerator 人工智慧 USB加速器 快速將機器學習推理引入現有系統。適用於Raspberry Pi和其他Linux系統。Google Coral USB Accelerator 人工智慧 USB加速器  使用的中介檔稱為 IR(Intermediate Representation),可支援 TensorFlow、Caffe、MXNet、ONNX、Darknet 等模型轉換為 IR(Intermediate Representation)的中介檔格式,且還支援 OpenCV 的 DNN 模組;而 Google Edge TPU 目前則僅支援自家的 Tensorflow Lite 格式,且是 Edge TPU 專用的tflite-tpu,因此使用前必須將 TF Lite 模型轉檔後才能使用。

由Google設計和製造的小型ASIC),可通過USB 3.0接口以低功耗成本提供高性能ML推理。例如,它可以以功率有效的方式執行最先進的移動視覺模型,例如100+ fps的MobileNet v2。這使您可以以高能效和隱私保護的方式為嵌入式AI設備添加快速ML推理。 模型在TensorFlow Lite中開發,然後編譯為在USB加速器上運行。

Edge TPU的關鍵優勢

  • 高速TensorFlow Lite推理
  • 低電量
  • 體積與面積小

 特徵

  • Google Edge TPU ML加速器協處理器
  • USB 3.0 Type-C插座
  • 支持主機CPU上的Debian Linux
  • 模型使用TensorFlow構建
  • 儘管可以使用自定義架構,但完全支持MobileNet和Inception架構
  • 與Google Cloud兼容

Google Coral USB Accelerator 數據表

Google Coral USB Accelerator

特徵

  • Google Edge TPU ML 加速器協處理器
  • USB 3.0 Type-C插座
  • 支持主機CPU上的Debian Linux

概述

Coral USB Accelerator是一個USB設備,可為您的系統添加Edge TPU協處理器。它包括一個USB插槽,因此您可以將其連接到任何基於Linux的系統,以執行加速ML推理。板載Edge TPU是由Google設計的小型ASIC,可提供低功耗的高性能ML推理。例如,它可以以功率有效的方式執行最先進的移動視覺模型,例如400 FPS的MobileNet v2。

Coral USB Accelerator

The Google Coral USB Accelerator brings powerful ML inferencing capabilities to existing Linux systems.

Featuring the Edge TPU —  a small ASIC designed and built by Google— the USB Accelerator provides high performance ML inferencing with a low power cost over a USB 3.0 interface. For example, it can execute state-of-the-art mobile vision models such as MobileNet v2 at 100+ fps, in a power efficient manner. This allows you to add fast ML inferencing to your embedded AI devices in a power-efficient and privacy-preserving way.

Models are developed in TensorFlow Lite and then compiled to run on the USB Accelerator.

 

Edge TPU key benefits

  • High-speed TensorFlow Lite inferencing
  • Low power
  • Small footprint

Coral is a division of Google, that helps you build intelligent ideas with our platform for local AI.

 

FEATURES

  • Google Edge TPU ML accelerator coprocessor
  • USB 3.0 Type-C socket
  • Supports Debian Linux on host CPU
  • Models are built using TensorFlow
  • Fully supports MobileNet and Inception architectures though custom architectures are possible
  • Compatible with Google Cloud

 

SPECS

Edge TPU ML accelerator

  • ASIC designed by Google that provides high performance ML inferencing for TensorFlow Lite models

Arm 32-bit Cortex-M0+ Microprocessor (MCU)

  •  Up to 32 MHz max
  • 16 KB Flash memory with ECC
  •  2 KB RAM

Connections

  • USB 3.1 (gen 1) port and cable (SuperSpeed, 5Gb/s transfer speed)
  • Included cable is USB Type-C to Type-AU

Local inferencing

Run on-device ML inferencing on the Edge TPU designed by Google.

 

Works with Debian Linux

Connect to any Linux-based system with an included USB Type-C cable.

 

Supports TensorFlow lite

No need to build models from the ground up. Tensorflow Lite models can be compiled to run on USB Accelerator.

Requirements

The Coral USB Accelerator must be connected to a host computer with the following specifications:

Any Linux computer with a USB port

  • Debian 6.0 or higher, or any derivative thereof (such as Ubuntu 10.0+)
  • System architecture of either x86_64 or ARM64 with ARMv8 instruction set

Raspberry Pi is supported

  • Only Raspberry pi <2/3 Model B/B+>
  • While USB 3.0 provides the fastest performance Raspberry Pi only supports USB 2.0

Tech Specs


ML acceleratorGoogle Edge TPU coprocessor
ConnectorUSB Type-C* (data/power)
Dimensions65 mm x 30 mm

* Compatible with Raspberry Pi boards at USB 2.0 speeds only.

Supported Operating Systems

Debian Linux

Supported Frameworks

TensorFlow Lite

Part List

1 x Coral USB Accelerator

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