USB Edge TPU ML Accelerator for Raspberry Pi

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USB Edge TPU ML Accelerator for Raspberry Pi

Original price was: $96.99.Current price is: $78.97.

USB Edge TPU ML Accelerator Coprocessor for Raspberry Pi and Other Embedded Single Board Computers

Specifications

  • Processor: Arm 32-bit Cortex-M0+ microprocessor (MCU)
    • Speed: Up to 32 MHz
    • Flash Memory: 16 KB with ECC
    • RAM: 2 KB
  • Connections:
    • USB 3.1 (Gen 1) port and cable
    • SuperSpeed with 5 Gb/s transfer speed

Features

  • Google Edge TPU ML acceleration coprocessor
  • USB 3.0 Type-C female connector
  • Supports Debian Linux on the host CPU
  • Models built with TensorFlow
  • Compatible with MobileNet and Inception architectures; custom architectures are also possible
  • Integration with Google Cloud is supported

This USB Edge TPU ML Accelerator is designed specifically for use with Raspberry Pi and other embedded single-board computers, enhancing machine learning capabilities with efficient processing and connectivity.

Category:

USB Edge TPU ML Accelerator Coprocessor for Raspberry Pi and Other Embedded Single Board Computers

Product Description

Unlock the potential of machine learning with the USB Edge TPU ML Accelerator Coprocessor. Designed specifically for Raspberry Pi and other embedded single board computers, this powerful device enhances your projects with exceptional processing capabilities.

Specifications

  • Microprocessor: Arm 32-bit Cortex-M0+
    • Clock Speed: Up to 32 MHz
  • Memory:
    • Flash Memory: 16 KB with ECC
    • RAM: 2 KB
  • Connections:
    • USB 3.1 (Gen 1) port and cable
    • SuperSpeed transfer speed up to 5 Gb/s

Features

  • Machine Learning Acceleration: Equipped with Google Edge TPU, enabling efficient ML processing.
  • USB Interface: Includes a USB 3.0 Type-C female connector for versatile connectivity.
  • Operating System Support: Fully compatible with Debian Linux for seamless integration with the host CPU.
  • Model Compatibility: Supports TensorFlow to build and deploy models, with full support for MobileNet and Inception architectures. Custom architectures are also possible.
  • Cloud Compatibility: Integrates effortlessly with Google Cloud for expanded functionalities.

Transform your embedded projects with the advanced capabilities of the USB Edge TPU ML Accelerator Coprocessor!

Brand

‎Google Coral

Item model number

‎Coral-USB-Accelerator

Operating System

‎Linux

Item Weight

‎2.82 ounces

Product Dimensions

‎3 x 2 x 1 inches

Item Dimensions LxWxH

‎3 x 2 x 1 inches

Processor Brand

‎ARM

Number of Processors

‎1

Manufacturer

‎Google Coral

Date First Available

‎April 25, 2019

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