Google Coral
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USB Edge TPU ML Accelerator coprocessor for Raspberry Pi and Other Embedded Single Board Computers
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USB Edge TPU ML Accelerator coprocessor for Raspberry Pi and Other Embedded Single Board Computers
Coral USB Accelerator provides high performance ML inferencing with a low power cost over a USB 3.0 interface.
USB Edge TPU ML Accelerator coprocessor for Raspberry Pi and Other Embedded Single Board Computers
Item #: 62198572

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

Item #: 62198572

SAR 532

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    Coral USB Accelerator provides high performance ML inferencing with a low power cost over a USB 3.0 interface.
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    What Stands Out

    Fast Inference
    Achieves high-speed machine learning inferencing with low power consumption, making it ideal for edge computing applications without sacrificing performance.
    Easy Integration
    Designed for seamless integration with Raspberry Pi and other single-board computers, simplifying setup for developers and hobbyists alike.
    Versatile Applications
    Supports a wide range of machine learning models, empowering users to create solutions in various fields like IoT, robotics, and smart devices.

    Product Details

    Powerful ML Inferencing with Google Coral USB Accelerator. Low power, high speed, and privacy-preserving inferencing for embedded AI devices. Get yours from Ubuy Saudi Arabia
    • Featuring the Edge TPU, designed and built by Google
    • Provides high performance ML inferencing with low power cost over a USB 3.0 interface
    • Executes state-of-the-art mobile vision models at over 100 fps in a power-efficient manner
    • Allows fast ML inferencing to embedded AI devices in a power-efficient and privacy-preserving way
    • Models developed in TensorFlow Lite and then compiled to run on the USB Accelerator
    • Key benefits: High speed TensorFlow Lite inferencing, low power, small footprint
    Memory Storage Capacity16 KB
    Network Connectivity TechnologyUSB
    Operating SystemLinux
    Processor BrandARM
    Processor Count1
    Total USB Ports1
    Item Dimensions L x W x H7.6L x 5.1W x 2.5H centimetres
    Brand NameGoogle Coral
    Model NameCoral-USB-Accelerator
    UPC608614201389
    Model NumberCoral-USB-Accelerator
    Manufacturer Part NumberCoral-USB-Accelerator
    ManufacturerGoogle Coral
    BrandGoogle Coral
    Connectivity technologyUSB

    Who Should Buy?

    Suitable For
    • AI Developers

      Ideal for developers creating machine learning applications requiring fast inference on edge devices and single board computers.

    • Embedded System Hobbyists

      Perfect for hobbyists wanting to add AI capabilities to their Raspberry Pi and other embedded systems projects.

    • Robotics Engineers

      Useful for robotics engineers needing real-time object detection and classification with minimal latency in applications.

    Not Suitable For
    • General Users

      Not suitable for casual users lacking programming skills or AI knowledge to leverage advanced machine learning capabilities.

    Product Description

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

    About This Item

    Introducing the Google Coral USB Edge TPU ML Accelerator - the ultimate coprocessor for Raspberry Pi and other embedded single board computers. This powerful device brings advanced machine learning (ML) inferencing capabilities to your existing Linux systems. Featuring the highly efficient Edge TPU, a small ASIC designed and developed by Google, the Coral USB Accelerator provides you with high-performance ML inferencing while consuming minimal power through a USB 3.0 interface. With its cutting-edge technology, this accelerator can execute state-of-the-art mobile vision models, such as MobileNet v2, at over 100 frames per second in a power-efficient manner. The Coral USB Accelerator allows you to enable fast ML inferencing on your embedded AI devices, all while maintaining a power-efficient and privacy-preserving approach.

    Models are developed using TensorFlow Lite and then compiled to run seamlessly on this accelerator, providing you with high-speed inferencing capabilities. One of the key benefits of the Edge TPU is its ability to deliver low-power ML inferencing without compromising on performance. This coprocessor is equipped with an Arm 32-bit Cortex-M0+ Microprocessor (MCU) with up to 32 MHz clock speed, ensuring outstanding speed and efficiency. In addition to its impressive performance, the Coral USB Accelerator also boasts a small footprint, making it a flexible and versatile solution for your embedded systems. It comes with a USB 3.1 (gen 1) port and cable, ensuring a SuperSpeed data transfer rate of up to 5Gb/s. The Coral USB Accelerator is fully compatible with Google Cloud and supports Debian Linux on host CPUs.

    You can develop models using TensorFlow and take advantage of its compatibility with popular architectures like MobileNet and Inception. Furthermore, the device supports custom architectures, opening up endless possibilities for your ML projects. At Ubuy, we offer a range of e-commerce options for Raspberry Pi and other embedded single board computers, allowing you to conveniently shop for high-quality embedded computing products and components. Whether you are an AI enthusiast, a hobbyist, or a professional developer, our online store provides you with a seamless shopping experience for all your embedded system needs. Discover the future of embedded AI with the Google Coral USB Edge TPU ML Accelerator.

    Shop now and unlock the potential of your embedded systems!.

    Have any Query? Chat with us

    Customer Questions & Answers

    • Question: What is the Edge TPU?

      Answer: The Edge TPU is a small ASIC designed and built by Google that provides high performance ML inferencing with a low power cost over a USB 3.0 interface.
    • Question: Which models does the Coral USB Accelerator support?

      Answer: It fully supports MobileNet and Inception architectures though custom architectures are possible.
    • Question: What is included in the package?

      Answer: The package includes the Coral USB Accelerator and a USB Type-C to Type-A cable.

    Google Coral Single-Board Computers & Accessories Coral-USB-Accelerator Editorial Review

    The Google Coral USB Edge TPU ML Accelerator coprocessor has received mixed feedback from users. While some have found it extremely easy to use and have seen significant improvements in performance, others have faced issues with the device failing or not being recognized initially. One user expressed frustration at the need to update drivers for compatibility. Nevertheless, those who got it up and running seamlessly praised its performance and the relief it brought to their CPU workload. Overall, when functioning correctly, the product has proven to be effective in accelerating machine learning inference tasks, such as object detection for CCTV systems on platforms like Raspberry Pi and Home Assistant. However, there are concerns about quality control and initial setup challenges for certain setups, which have impacted the user experience.

    Customer Reviews & Ratings

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    Pros

    • Significant performance improvement in machine learning inference tasks
    • Effective in offloading AI detection burden from the CPU
    • Compatible with platforms like Raspberry Pi, Home Assistant, and Frigate

    Cons

    • Initial setup challenges with recognition and compatibility on certain systems

    Platform Trust & Buyer Confidence

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    “Arrive before time, excellent products”

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    “Good experience of shopping through Ubuy.”

    16 June 2026 · via Trustpilot
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    Mohamed
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    “We feel very good about the delivery time, and the materials we received matched our order.”

    14-Jul-26 · via Trustpilot
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    Essam
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    “Perfect service and fast delivery.”

    16-Jul-26 · via Trustpilot
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    SAR 532

    Order now and get it around Friday, August 28

    QTY:

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    Features & Benefits

    • Brings powerful ML inferencing capabilities to existing Linux systems
    • Execute state-of-the-art mobile vision models in a power-efficient manner
    • Great for fast ML inferencing to embedded AI devices in a privacy-preserving way
    • Fully supports MobileNet and Inception architectures though custom architectures are possible
    • Compatible with Google Cloud
    • Features Google Edge TPU ML accelerator coprocessor, USB 3.0 Type-C socket, Debian Linux on host CPU and models built with TensorFlow

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