Coral USB Accelerator Device

Coral USB Accelerator Device

$78.97

Coral USB Accelerator

The Coral USB Accelerator is a USB accessory designed to enhance machine learning inferencing on existing systems, specifically compatible with Raspberry Pi and other Linux platforms.

Key Features

  • High-Speed ML Inferencing:

    • On-board edge TPU Coprocessor capable of performing 4 trillion operations per second (TOPS)
    • Energy-efficient operation at 0.5 watts per TOPS (2 TOPS per watt)
    • Supports execution of mobile vision models, such as MobileNet V2, at 400 FPS
  • Compatibility:

    • Works with any Debian-based Linux system
    • Includes a USB 3.0 Type-C cable for connection
  • TensorFlow Lite Support:

    • Allows for easy integration of pre-built TensorFlow Lite models without the need to build from scratch
  • AutoML Vision Edge:

    • Facilitates the quick creation and deployment of custom image classification models with high accuracy

Specifications

  • ML Accelerator: Google edge TPU Coprocessor
  • Connector: USB 3.0 Type-C (for data and power)
  • Dimensions: 65 mm x 30 mm

With the Coral USB Accelerator, users can significantly boost their machine learning capabilities while maintaining power efficiency.

Category:

Coral USB Accelerator

The Coral USB Accelerator is a powerful USB accessory designed to enhance machine learning inferencing on existing systems, seamlessly integrating with devices like Raspberry Pi and other Linux-based platforms.

Key Features

  • High-Speed ML Inferencing:

    • Equipped with an on-board Edge TPU Coprocessor, the Coral USB Accelerator can perform an astonishing 4 trillion operations per second (TOPS), using just 0.5 watts per TOPS (equivalent to 2 TOPS per watt).
    • Capable of executing state-of-the-art mobile vision models, such as MobileNet V2, at an impressive 400 FPS, all while maintaining energy efficiency.
  • Compatibility with Debian Linux:

    • Easily connects to any Debian-based Linux system using the included USB 3.0 Type-C cable.
  • Support for TensorFlow Lite:

    • Simplifies the development process by allowing you to compile TensorFlow Lite models to run on the Edge TPU, eliminating the need to build models from scratch.
  • Automated Model Development with AutoML Vision Edge:

    • Streamline the creation and deployment of fast, high-accuracy custom image classification models to your device, utilizing AutoML Vision Edge.

Technical Specifications

  • Machine Learning Accelerator: Google Edge TPU Coprocessor
  • Connector Type: USB 3.0 Type-C (for data and power)
  • Dimensions: 65 mm x 30 mm

Enhance your machine learning capabilities with the Coral USB Accelerator and unlock the power of efficient inference on your projects!

Brand

‎Google

Series

‎Coral USB Accelerator

Item model number

‎G950-06809-01

Operating System

‎Linux

Item Weight

‎3.52 ounces

Product Dimensions

‎5.51 x 2.36 x 4.72 inches

Item Dimensions LxWxH

‎5.51 x 2.36 x 4.72 inches

Color

‎Coral

Processor Brand

‎Intel

Number of Processors

‎1

Voltage

‎5 Volts

Manufacturer

‎Google LLC

Is Discontinued By Manufacturer

‎No

Date First Available

‎July 26, 2019

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