Google G950-01456-01 Coral USB Accelerator
Google G950-01456-01 Coral USB AcceleratorGoogle G950-01456-01 Coral USB AcceleratorGoogle G950-01456-01 Coral USB Accelerator

Google G950-01456-01 Coral USB Accelerator

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Код товара: 47
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  • A USB accessory that brings machine learning inferencing to existing systems. Works with Raspberry Pi and other Linux systems
  • 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 400 FPS, in a power efficient manner
  • Works with Debian Linux: Connects to any debian-based Linux system with an included USB 3.0 Type-C cable
  • Supports tensorflow Lite: No need to build models from the ground up. Tensorflow Lite models can be compiled to run on the edge TPE
  • Supports automl vision edge: Easily build and deploy fast, high-accuracy custom image classification models to your device with automl vision edge
  • Ml Accelerator: Google edge TPU Coprocessor
  • Connector: USB 3.0 Type-C (data/power)
  • Dimensions: 65 millimeter x 30 millimeter
  • The Coral 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 by Google is a platform for building devices with 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

    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 t.ransfer speed), Included cable is USB Type-C to Type-A