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[物聯汪汪]附發票~ Google Coral.AI 人工智慧晶片 USB Accelerator機器學習加速器

商品編號:P0510705729139 原始貨號:P0510705729139

本賣場商品一律含稅開發票,需要統編者請下單後備註公司名及統編即可! 本店近新店捷運總站,歡迎大家來店自取,需要自取的請留言聯絡!

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商品特色

詳盡技術資料請見原廠或供應商連結  /products/accelerator [ https://coral.ai/products/accelerator ] 單品料號:G950-01456-01


***請注意: 出貨前皆會測試確認通訊OK並記錄序號為證!!


The Coral.AI 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.AI 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.AI USB Accelerator must be connected to the hostcomputer which is consistent with the following specifications:

All kinds of Linux computer with a USB port

  • Debian6.0 or higher,or any derivative thereof(such as Ubuntu10.0+)
  • System architecture of either x86_64 or ARM64 with ARMv8 instruction set

Raspberry Pi

  • Raspberry Pi2/3 Model B / B+ only 
  • Also note that to reach the best inference speed, you should use a USB 3.0 port.(unfortunately, Raspberry Pi has only USB 2.0 port)

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.AI USB Accelerator

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