USB Edge TPU ML Accelerator coprocessor for Raspberry Pi and Other Embedded Single Board Computers
genuine image
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
Artikelnr.: 12460193

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

Artikelnr.: 12460193

ANG 289

Price Details

Excluding Shipping & Custom charges ( Shipping and custom charges will be calculated on checkout )

*All items will import from VS

Op voorraad
VS Geïmporteerd uit USA
Bestel nu en ontvang het rond Vrijdag, Juli 31
Beveiligde transactieBeveiligde transactie

Ubuy works hard to protect your security and privacy. Our advanced payment security system ensures confidentiality by encrypting your information during transmission using AES (Advanced Encryption Standards) and SSL (Secure Socket Layer) protocols. Your payment details are 100% secure as we do not share your payment details with third party sellers.

Onze beste bezorgdiensten
  • fedex
  • dhl
Coral USB Accelerator provides high performance ML inferencing with a low power cost over a USB 3.0 interface.
U-Care-garantie:
Geen
Selecteer een abonnement
fast shipping

Spoedbestelling

free return

Gratis
retourneren*

Stevig verpakt

Stevig verpakt

100% Origineel product

100% Origineel product

pci-dss

PCI DSS Compliance

iso certified

ISO 27001 Certified

paypal payment
visa payment
mastercard payment

Wat opvalt

High Processing Power
Enhances machine learning performance significantly, allowing faster inference and more efficient data processing on Raspberry Pi and similar devices.
Compact Design
Designed for minimal space usage, making it ideal for embedded systems where size is a constraint without sacrificing performance.
Versatile Compatibility
Works seamlessly with various single board computers, broadening its application range and allowing diverse project implementations.

Productdetails

Shop USB Edge TPU ML Accelerator coprocessor for Raspberry Pi and Other Embedded Single Board Computers online at a best price in curacao. B07R53D12W
  • Powerful ML inferencing capabilities with low power cost over USB 3.0
  • Executes state-of-the-art mobile vision models at 100+ fps
  • Developed in TensorFlow Lite and supports MobileNet and Inception architectures
  • High speed inferencing with low power consumption and small footprint
  • Built using Arm Cortex-M0+ Microprocessor with 16 KB Flash memory
  • Compatible with Google Cloud and supports Debian Linux on host CPU
Package Weight1.0000 Pound

Voor wie is dit geschikt?

Suitable For
  • AI Enthusiasts

    Great for hobbyists experimenting with AI projects on Raspberry Pi or other embedded systems requiring on-device machine learning.

  • Developers

    Ideal for software developers looking to prototype and deploy machine learning applications in a compact, efficient environment.

  • Robotics Engineers

    Designed for robotics projects needing efficient computation power for image processing and real-time decision-making capabilities.

Not Suitable For
  • Casual Users

    Not suitable for individuals seeking simple computing solutions without advanced machine learning applications or expertise.

  • High-Power Tasks

    Not ideal for users requiring heavy computational power, as it is designed for lightweight ML tasks on edge devices.

  • Non-Embedded Systems

    Not recommended for users looking to implement machine learning in standard desktops or laptops without compatibility.

PRODUCTBESCHRIJVING

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!.

Heeft u een vraag? Chat met ons

Vragen & Antwoorden van klanten

  • vraag: What is the purpose of the USB Edge TPU ML Accelerator coprocessor?

    antwoord: The USB Edge TPU ML Accelerator coprocessor is designed to enhance machine learning tasks on devices like the Raspberry Pi and other embedded single board computers. By offloading intense computation tasks from the main processor, it accelerates model inference, making it ideal for applications in computer vision, natural language processing, and real-time predictions. For instance, developers can deploy AI models for smart home devices or robotics systems, significantly improving their performance without consuming excessive resources.
  • vraag: What kind of projects can I build with the USB Edge TPU ML Accelerator?

    antwoord: With the USB Edge TPU ML Accelerator, you can create a variety of innovative projects that require rapid AI processing. For instance, you could develop smart surveillance systems that utilize real-time object detection, or build interactive kiosks that provide personalized customer engagement based on machine learning models. Its capability to handle multiple TensorFlow Lite models makes it perfect for prototyping and deploying edge computing applications in sectors like healthcare, agriculture, and automation.
  • vraag: How does the USB Edge TPU work with TensorFlow Lite?

    antwoord: The USB Edge TPU is optimized to work seamlessly with TensorFlow Lite, a lightweight version of Google’s machine learning framework. It accelerates the performance of TensorFlow Lite models by providing hardware features tailored for machine learning inference. When you convert your TensorFlow model to TensorFlow Lite, you can easily deploy it on the Edge TPU, allowing for quicker predictions and reduced latency, essential for applications like image recognition on mobile devices or robotics tasks requiring immediate feedback.
  • vraag: Can the USB Edge TPU handle multiple machine learning models simultaneously?

    antwoord: Yes, the USB Edge TPU can manage multiple machine learning models at once, provided that the models are optimized for its architecture. Users can deploy several lightweight models and benefit from parallel processing capabilities. This feature is particularly beneficial in environments like smart cameras where different models might be analyzing various parameters simultaneously, such as detecting faces while processing gestures, thereby enhancing functionality without compromising performance.
  • vraag: Is the USB Edge TPU suitable for beginners in machine learning?

    antwoord: Absolutely! The USB Edge TPU is beginner-friendly as it simplifies the process of deploying machine learning models on devices like the Raspberry Pi. With extensive documentation, community support, and example projects available from Google, beginners can easily integrate machine learning into their applications. Whether experimenting with image classification or voice recognition, it provides a great entry point for those wanting to explore AI without requiring deep technical expertise.
  • vraag: What power supply requirements are needed for the USB Edge TPU?

    antwoord: The USB Edge TPU coprocessor typically operates via a USB connection, requiring power from the host device. Most Raspberry Pi models and compatible single board computers provide sufficient power through their USB ports. However, it’s good to ensure that the power supply can handle the additional load when multiple peripherals are connected. This consideration is particularly crucial in projects that involve multiple sensors or cameras, where power management becomes essential to maintaining system stability.
  • vraag: What are the main advantages of using the USB Edge TPU over CPU for ML tasks?

    antwoord: The main advantages of using the USB Edge TPU for machine learning tasks include improved speed and efficiency. The Edge TPU is specifically designed for inferencing, allowing it to execute models faster than a general CPU could, especially useful for applications requiring quick decision-making like real-time video analysis. Additionally, it offers lower power consumption, which is critical for battery-operated devices and embedded systems that need to maintain long operational times.
  • vraag: What programming languages can I use with the USB Edge TPU?

    antwoord: You can use Python APIs provided by TensorFlow Lite with the USB Edge TPU to build your machine learning applications. This supports various projects ranging from simple scripts to complex systems. Additionally, using C++ is also an option if you need more control over performance. These programming choices make it accessible for developers with different skill sets, letting them implement machine learning tasks easily on their preferred programming platform.
  • vraag: Will the USB Edge TPU work with all versions of Raspberry Pi?

    antwoord: The USB Edge TPU is compatible with most Raspberry Pi models, specifically from Raspberry Pi 3 and above. It connects easily via the USB port, allowing you to leverage its accelerated processing capabilities without worrying about compatibility issues. This versatility enables users to enhance a wide range of projects, whether they’re working with the Raspberry Pi 3, 4, or other supported single board computers, ensuring you can take advantage of the latest machine learning advancements.
  • vraag: Where can I buy USB Edge TPU ML Accelerator coprocessor for Raspberry Pi and Other Embedded Single Board Computers in curacao?

    antwoord: You can purchase the USB Edge TPU ML Accelerator coprocessor for Raspberry Pi and other embedded single board computers from Ubuy. Ubuy provides a reliable platform for finding various electronics and components, including specialty items like the Edge TPU. It offers a convenient shopping experience with a range of delivery options, ensuring that you can easily obtain this innovative machine learning accelerator in curacao.

Google Coral Motherboards Editorial Review

The Google Coral USB accelerator is a simple device that is great for those with experience in software development. It has been successfully used in NVR/ML type applications without any failures. However, the product has been noted to be overpriced for what it is. The device is incredibly small, and the API docs and demos are easy to use. The product has encountered issues with running on certain platforms and has a steep learning curve. The quick start guide has not been effective in assisting with installation, but the device has been used successfully with Raspberry Pi 4. The product has received mixed reviews with some being very positive and some negative.

Klantbeoordelingen en -waardering

5.0
1 klantenbeoordelingen
  • 5 ster
    100%
  • 4 ster
    0%
  • 3 ster
    0%
  • 2 ster
    0%
  • 1 ster
    0%

Beoordeel dit product

Deel uw mening met andere klanten

Voordelen

  • Simple to use
  • Small size
  • Great solution for Raspberry Pi 4

Nadelen

  • Overpriced

Platform Trust & Buyer Confidence

trustpilot logo
4.3/5 9,000 + reviews
Read reviews
MT
Mohd
Verified buyer

“The product received very good packaging & safe…Thank You”

16 June 2026 · via Trustpilot
SJ
Shawati
Verified buyer

“Accurate delivery timing given”

16 June 2026 · via Trustpilot
YB
Youcef
Verified buyer

“Not madly expensive like I thought, and much quicker than promised.”

15 June 2026 · via Trustpilot
LM
Leila
Verified buyer

“Never dealt with Ubuy before, but everything worked out great. Seamless cross border purchasing and shipping. Thanks!”

6/7/2026 · via Trustpilot
KA
Kwame
Verified buyer

“The process was smooth, with clear communication and timelines. This was my 1st purchase and I am really impressed. I will definitely be coming back.”

12 June 2026 · via Trustpilot
Veilig Afrekenen Global Delivery Eenvoudig retourneren Genuine Products

Prijs-/productgeschiedenis

Belangrijke informatie

  • Beperkingen: voor producten die internationaal worden verzonden, gelieve er rekening mee te houden dat eventuele fabrieksgaranties mogelijk niet geldig zijn; ondersteuningsopties van de fabrikant zijn mogelijk niet beschikbaar; producthandleidingen, instructies en veiligheidswaarschuwingen zijn mogelijk niet in de taal van het land van bestemming; de producten (en bijbehorende materialen) zijn mogelijk niet ontworpen in overeenstemming met de normen, specificaties en etiketteringsvereisten van het land van bestemming; en de producten zijn mogelijk niet in overeenstemming met de voltage- en andere elektriciteitsstandaarden van het land van bestemming (waardoor het gebruik van een adapter of omvormer nodig is, indien van toepassing). De ontvanger is ervoor verantwoordelijk zich ervan te verzekeren dat het product rechtmatig kan worden geïmporteerd naar het land van bestemming. Bij het bestellen bij Ubuy of diens partners geldt de ontvanger als de geregistreerde invoerder en dient zich als zodanig te houden aan alle wetten en voorschriften van het land van bestemming.
  • Omdat Ubuy een wereldwijde zoekmachine is, zijn niet alle producten die op Ubuy worden vermeld ook te koop. Producten zijn onderworpen aan wetgeving inzake export en handel.

ANG 289

Bestel nu en ontvang het rond Vrijdag, Juli 31

QTY:

Beveiligde transactieBeveiligde transactie

PCI DSS compliant and ISO 27001:2022 certified, with encrypted payments and full buyer protection on every order.

Onze beste bezorgdiensten
  • fedex
  • dhl
Snelste wereldwijde bezorging

Kenmerken en voordelen

  • 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

Ubuy Assurance

Experience worry-free shopping with 100% original products, PCI DSS-compliant payment security, ISO 27001-certified data protection, the fastest cross-border delivery, free returns *, and secure packaging on every order.