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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

Normally $134.78
Normally $134.78
You save $7
You save $7
AUD $ 127 .30
$ 127 .30

Out of stock

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

Plus $2 get 1x Google Coral Camera which value is over $55. Till the stock last!
  • Brand: Google
  • MPN: 114991790
  • Part #: SBCGOG0002
  • UPC: 192876503706
3
Normally $134.78
Normally $134.78
You save $7
You save $7
PB Tech price
AUD $ 127 .30 $ 127 .30


  • Brand: Google
  • MPN: 114991790
  • Part #: SBCGOG0002
  • UPC: 192876503706

What PB Tech customers are saying about this product...

See More Reviews

"Plug and play on my Unraid NAS, just set it up with Frigate and all good to go!"

J
By: JamesW35 24/07/23
Verified Owner

"Certainly speeds up video analysis using software like Frigate."

G
By: Guest 11/05/23

"Works well, happy that it was in stock they are hard to get at the moment"

L
By: LiamB8943 13/04/23
Verified Owner

Features

NOTE: Plus $2 get 1x of Google Coral Camera which value is over $55. Till the stock last!

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:
114991790
Brand:
Product Type:
-
UPC
192876503706
Product Family:
SBC
Shipping Weight:
0.1 kg
PB Part No:
SBCGOG0002
Product Model:
Coral
Warranty: 12 months *
* 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.

Reviews

5 out of 5 Stars Based on 3 Reviews
5 Stars
3
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Does a great job

Plug and play on my Unraid NAS, just set it up with Frigate and all good to go!

J
By: JamesW35 24/07/23
Verified Owner
1 out of 1 user found this review helpful
Did you find it helpful?

Get it while it's hot!

Certainly speeds up video analysis using software like Frigate.

G
By: Guest 11/05/23
1 out of 1 user found this review helpful
Did you find it helpful?

Coral for video decoding

Works well, happy that it was in stock they are hard to get at the moment

L
By: LiamB8943 13/04/23
Verified Owner
0 out of 0 users found this review helpful
Did you find it helpful?

Delivery & Pick-up

Shipping Costs

Shipping costs vary based on your location and the items being shipped and in some cases shipping may even be FREE.

To calculate what the shipping costs will be for your order, add the items you are interested in to your cart, view the Shopping Cart page, and select your 'Delivery Area' to calculate the shipping cost.

Shipping Security & Insurance

All orders shipped by PB Tech are sent via a courier with a signature required for each delivery. In some cases, and only where you have given the courier company permission to leave orders at a designated location, your order may be delivered without requiring a signature. All orders sent by PB Tech are fully insured in the unlikely event that your item(s) are damaged or go missing in transit.

Delivery Estimates

The delivery time-frame (in days) for each product we sell is detailed on the individual product page just to the right of the main product image. From when you place your order, in-stock products typically arrive within 7-10 working days for all countries that we ship to.

Overseas Shipments

If you are located in New Zealand, you can order directly from our New Zealand site www.pbtech.co.nz. If you are located in Australia you can order directly from our Australian website www.pbtech.com/au

Returns & Warranty

7 day right of exchange

If you change your mind after making a purchase, or realise you have ordered the incorrect item, you can enjoy the peace of mind that we offer a 7 day exchange policy.

To exchange a product, goods must be sealed / unopened, with packaging in original condition, and accompanied by a valid receipt dated no more than 7 calendar days from when you request an exchange.

If there is not a suitable product that can be exchanged for your returned item you will be offered a credit on your account or gift card based on the value paid at the time of purchase.

Please note, items purchased on finance cannot be exchanged for a gift card.

 

Hassle free warranty service

If your product develops a fault within the manufacturer warranty period, you need to fill out our request a return form.

If your product develops a fault outside of the manufacturer warranty or PB Tech warranty period, we offer a full repair service and are an authorised repair agent for leading brands such as Samsung, HP, Toshiba, Lenovo and more.

 

Returning a product / making a warranty claim

To return a product to PB Tech, please complete our request a return form.

Or view our returns policy for more information.

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

Plus $2 get 1x Google Coral Camera which value is over $55. Till the stock last!
  • Brand: Google
  • MPN: 114991790
  • Part #: SBCGOG0002
  • UPC:192876503706
AUD $127.30

Date Created: 10:17, 29-03-2024
Product URL: https://www.pbtech.com/product/SBCGOG0002/Google-SBC-Coral-USB-Accelerator-Performs-high-spe?qr=popular_related_products&qr=country-selector

Features

NOTE: Plus $2 get 1x of Google Coral Camera which value is over $55. Till the stock last!

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: 10:17, 29-03-2024
Product URL: https://www.pbtech.com/product/SBCGOG0002/Google-SBC-Coral-USB-Accelerator-Performs-high-spe?qr=popular_related_products&qr=country-selector