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Google SBC Coral USB Accelerator, Performs high-speed ML inferencing, Supports all major platforms, Supports TensorFlow Lite, Supports AutoML Vision Edge

Google SBC Coral USB Accelerator, Performs high-speed ML inferencing, Supports all major platforms, Supports TensorFlow Lite, Supports AutoML Vision Edge
PB Tech price: PB Tech price:
$181 73  +GST $208 99  inc GST
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  • Features
  • Specifications
  • Reviews
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Google SBC Coral USB Accelerator, Performs high-speed ML inferencing, Supports all major platforms, Supports TensorFlow Lite, Supports AutoML Vision Edge

Accelerator Coprocessor for Raspberry Pi and Other Embedded Single Board Computers!

Google SBC Coral USB Accelerator, Performs high-speed ML inferencing, Supports all major platforms,...

  • Brand: Google
  • MPN: 90AN0020-M0XAY0
  • Part #: SBCGOG0002
  • UPC:192876503706
PB Tech price: PB Tech price:
$181 73 $208 99
 +GST  inc GST

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Features

Datasheet

Get started guide

The Coral USB Accelerator adds an Edge TPU coprocessor to your system. It includes a USB socket you can connect to a host computer to perform accelerated ML inferencing.

The on-board Edge TPU is a small ASIC designed by Google that provides high performance ML inferencing with a low power cost. For example, it can execute state-of-the-art mobile vision models such as MobileNet v2 at almost 400 FPS, in a power-efficient manner.

 

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 almost 400 FPS, in a power efficient manner. See more performance benchmarks.

Supports all major platforms

Connects via USB to any system running Debian Linux (including Raspberry Pi), macOS, or Windows 10.

Supports TensorFlow Lite

No need to build models from the ground up. TensorFlow Lite models can be compiled to run on the Edge TPU.

Supports AutoML Vision Edge

Easily build and deploy fast, high-accuracy custom image classification models to your device with AutoML Vision Edge.

Features:

 - Models are built using TensorFlow
 - Fully supports MobileNet and Inception architectures though custom architectures are possible
 - Compatible with Google Cloud

Specifications

ML accelerator

Google Edge TPU coprocessor:
4 TOPS (int8); 2 TOPS per watt

Connector

USB 3.0 Type-C* (data/power)
* Compatible with USB 2.0 but inferencing speed is slower.

Dimensions

65 mm x 30 mm

System requirements

 - One of the following operating systems:
     - Linux Debian 6.0 or higher, or any derivative thereof (such as Ubuntu 10.0+), and an x86-64 or ARM64 system architecture
     - macOS 10.15, with either MacPorts or Homebrew installed
     - Windows 10
 - One available USB port (for the best performance, use a USB 3.0 port)
 - Python 3.5, 3.6, or 3.7

Manufacturer Part No: 90AN0020-M0XAY0 Brand: Google Product Type: -
UPC 192876503706 Product Family: SBC Shipping Weight: 0.05 kg
PB Part No: SBCGOG0002 Product Model: Coral

Warranty: 12 months local warranty *
* Warranty period is as stated above unless the manufacturer has chosen to specify a longer period.
All warranties are return to base unless otherwise specified.

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Google SBC Coral USB Accelerator, Performs high-speed ML inferencing, Supports all major platforms, Supports TensorFlow Lite, Supports AutoML Vision Edge

Accelerator Coprocessor for Raspberry Pi and Other Embedded Single Board Computers!
  • Brand: Google
  • MPN: 90AN0020-M0XAY0
  • Part #: SBCGOG0002
  • UPC:192876503706
PB Tech price: $181.73 Excluding GSTPB Tech price:$208.99 Including GST
Date Created: 15:36, 29-10-2020
Product URL: https://www.pbtech.co.nz/product/SBCGOG0002/Google-SBC-Coral-USB-Accelerator-Performs-high-spe
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Features

Datasheet

Get started guide

The Coral USB Accelerator adds an Edge TPU coprocessor to your system. It includes a USB socket you can connect to a host computer to perform accelerated ML inferencing.

The on-board Edge TPU is a small ASIC designed by Google that provides high performance ML inferencing with a low power cost. For example, it can execute state-of-the-art mobile vision models such as MobileNet v2 at almost 400 FPS, in a power-efficient manner.

 

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 almost 400 FPS, in a power efficient manner. See more performance benchmarks.

Supports all major platforms

Connects via USB to any system running Debian Linux (including Raspberry Pi), macOS, or Windows 10.

Supports TensorFlow Lite

No need to build models from the ground up. TensorFlow Lite models can be compiled to run on the Edge TPU.

Supports AutoML Vision Edge

Easily build and deploy fast, high-accuracy custom image classification models to your device with AutoML Vision Edge.

Features:

 - Models are built using TensorFlow
 - Fully supports MobileNet and Inception architectures though custom architectures are possible
 - Compatible with Google Cloud

Specifications

ML accelerator

Google Edge TPU coprocessor:
4 TOPS (int8); 2 TOPS per watt

Connector

USB 3.0 Type-C* (data/power)
* Compatible with USB 2.0 but inferencing speed is slower.

Dimensions

65 mm x 30 mm

System requirements

 - One of the following operating systems:
     - Linux Debian 6.0 or higher, or any derivative thereof (such as Ubuntu 10.0+), and an x86-64 or ARM64 system architecture
     - macOS 10.15, with either MacPorts or Homebrew installed
     - Windows 10
 - One available USB port (for the best performance, use a USB 3.0 port)
 - Python 3.5, 3.6, or 3.7

Date Created: 15:36, 29-10-2020
Product URL: https://www.pbtech.co.nz/product/SBCGOG0002/Google-SBC-Coral-USB-Accelerator-Performs-high-spe
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