Google Coral USB Accelerator: ML Accelerator, USB 3.0 Type-C, Debian Linux Compatible
Google Coral USB Accelerator: ML Accelerator, USB 3.0 Type-C, Debian Linux Compatible
Google Coral USB Accelerator: ML Accelerator, USB 3.0 Type-C, Debian Linux Compatible
Google Coral USB Accelerator: ML Accelerator, USB 3.0 Type-C, Debian Linux Compatible
Google Coral USB Accelerator: ML Accelerator, USB 3.0 Type-C, Debian Linux Compatible
Google Coral USB Accelerator: ML Accelerator, USB 3.0 Type-C, Debian Linux Compatible
Google Coral USB Accelerator: ML Accelerator, USB 3.0 Type-C, Debian Linux Compatible
The USB accessory performs high-speed ML inferencing and connects to any debian-based Linux system with an included USB 3.0 Type-C cable. It supports tensorflow Lite and automl vision edge
Google Coral USB Accelerator: ML Accelerator, USB 3.0 Type-C, Debian Linux Compatible
товар №: 16958843

Google Coral USB Accelerator: ML Accelerator, USB 3.0 Type-C, Debian Linux Compatible

товар №: 16958843

TJS 2108

Price Details

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США Импортировано из магазина USA
Закажите сейчас и получите товар приблизительно Четверг, Август 06
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The USB accessory performs high-speed ML inferencing and connects to any debian-based Linux system with an included USB 3.0 Type-C cable. It supports tensorflow Lite and automl vision edge
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What Stands Out

High-speed Inferencing
Delivers exceptional performance for machine learning tasks, enabling real-time predictions that enhance user interactions and system efficiency.
Debian Linux Support
Seamless integration with Debian-based systems, providing developers a robust platform to deploy machine learning applications without compatibility issues.
Energy Efficient
Designed for low power consumption, allowing users to run intensive ML models without significantly impacting energy resources, ideal for edge computing applications.

Информация о продукте

Enhance performance with the Coral USB Accelerator. Accelerate machine learning inferencing on Raspberry Pi and Linux systems. Shop now at Ubuy Tajikistan!
  • USB accessory for machine learning inferencing on existing systems
  • High-speed ML inferencing with on-board edge TPU Coprocessor
  • Compatible with Debian Linux and Raspberry Pi
  • Supports TensorFlow Lite for running pre-compiled models
  • Easily build and deploy custom image classification models with AutoML Vision Edge
  • Compact dimensions of 65mm x 30mm with USB 3.0 Type-C connector
Compatible DevicesComputers with Linux Debian 6.0 or above, Ubuntu 10.0 or above, Raspberry Pi with Raspbian, PC with USB 3.1 port, Single board computer with ARMv8 architecture
Connector TypeUSB Type C
Number of Ports1
Power Plug TypeNo Plug
Smart Home CompatibilityNot Smart Home Compatible
ColorCoral
Item Dimensions5.51 x 2.36 x 4.72 inches (14 x 6 x 12 cm)
Package Quantity1
Unit Count1.0 Count
Number of Items1
BrandGoogle
Model NumberG950-06809-01
UPC842776110077
Global Trade Identification Number00842776110077
ManufacturerGoogle LLC
Mfr Part NumberG950-01456-01
Built-In MediaUSB Cable
Compatible DevicesComputers with Linux Debian 6.0 or above, Ubuntu 10.0 or above, Raspberry Pi with Raspbian, PC with USB 3.1 port, Single board computer with ARMv8 architecture See more
Item dimensions L x W x H5.51 x 2.36 x 4.72 inches (14 x 6 x 12 cm)
Package Weight1 Pound

What's in the box

USB Cable

Who Should Buy?

Suitable For
  • AI Researchers

    Perfect for researchers who require accelerated processing for machine learning models and quick experimentation with ML workloads.

  • IoT Developers

    Ideal for developers building AI applications in IoT devices, leveraging powerful edge processing capabilities for real-time analytics.

  • Hobbyist Makers

    Great for hobbyists and makers experimenting with machine learning projects, providing accessible and affordable ML inference capabilities.

Not Suitable For
  • General Users

    Not suitable for casual users without technical knowledge or experience in machine learning and hardware configuration.

ОПИСАНИЕ ТОВАРА

About This Item

Introducing the Coral USB Accelerator – the ultimate USB AI Accelerator designed specifically for Raspberry Pi and powered by Google Edge TPU technology. Boost the processing power of your Raspberry Pi and take your AI projects to new heights with the Coral USB Accelerator. Whether you're a hobbyist, researcher, or developer, this cutting-edge accessory opens up a world of possibilities. The Coral USB Accelerator allows you to harness the full potential of Google Edge TPU, a specialized chip designed for AI inference.

With the power of TPU at your fingertips, you can accelerate machine learning algorithms and execute complex AI tasks with lightning speed. Designed with convenience in mind, the Coral USB Accelerator simply plugs into your Raspberry Pi's USB port, making it effortless to integrate into your existing setup. No complicated configurations or wiring required – simply connect and start unleashing the power of AI. With this powerful USB AI Accelerator by your side, you can now tackle advanced AI projects with ease. From image classification and object detection to speech recognition and natural language processing, the possibilities are endless.

Take your projects to the next level and turn your ideas into reality. But the Coral USB Accelerator is not just for AI enthusiasts. It's also a valuable tool for businesses and entrepreneurs. Enhance the capabilities of your e-commerce platforms, online stores, and digital marketing efforts with the help of AI.

Improve customer experiences, optimize operations, and gain valuable insights to stay ahead in the competitive online landscape. Experience the future of AI with the Coral USB Accelerator for Raspberry Pi. Unlock the true potential of your projects and revolutionize the way you work with artificial intelligence. Don't miss out on this game-changing accessory – get your Coral USB Accelerator today and take your AI endeavors to new heights.

Вопросы и ответы клиентов

  • вопрос: What is the Google Coral USB Accelerator?

    отвечать: The Google Coral USB Accelerator is a compact machine learning (ML) accelerator designed to enhance the performance of inference tasks. It features a USB 3.0 Type-C connection for fast data transfer and is compatible with various operating systems, including Debian Linux. This device uses Google's Edge TPU, allowing users to execute TensorFlow Lite models efficiently, making it ideal for developers and engineers working on AI projects.
  • вопрос: How does the Google Coral USB Accelerator improve machine learning tasks?

    отвечать: The Google Coral USB Accelerator improves machine learning tasks by providing a dedicated hardware solution for running ML inference, which reduces the load on the main processor. Its specialized Edge TPU chip enables high-speed computations, allowing for edge processing of AI models. For instance, if you're developing an application that requires real-time image recognition, using the Accelerator can significantly boost the response time and efficiency of your application.
  • вопрос: What types of projects can benefit from using the Google Coral USB Accelerator?

    отвечать: Projects that involve image processing, object detection, natural language processing, or other AI-driven applications can benefit greatly from the Google Coral USB Accelerator. For example, if you're building a smart security camera system that uses real-time facial recognition, integrating the Accelerator can enhance your system's processing capabilities, ensuring swift and reliable performance.
  • вопрос: Is the Google Coral USB Accelerator suitable for beginners?

    отвечать: While the Google Coral USB Accelerator is primarily designed for developers and engineers, beginners with a basic understanding of machine learning and programming can also benefit. It comes with an extensive library and tutorials to aid newcomers in setting up their projects. For someone starting in AI development, this device can serve as a practical introduction to machine learning implementations.
  • вопрос: What software frameworks are compatible with the Google Coral USB Accelerator?

    отвечать: The Google Coral USB Accelerator is primarily compatible with TensorFlow Lite, which is designed for mobile and edge devices. Additionally, it can work with other frameworks that allow for TensorFlow Lite model conversion. This compatibility makes it a versatile tool for developers looking to deploy machine learning models efficiently. For instance, if you have a pre-trained TensorFlow model, you can convert it and take advantage of the Accelerator's performance.
  • вопрос: Can the Google Coral USB Accelerator be used for cloud applications?

    отвечать: The Google Coral USB Accelerator is primarily intended for edge deployment rather than cloud applications. Its design focuses on performing local inference, which enhances speed by minimizing latency associated with cloud processing. For example, in IoT scenarios, using the Accelerator allows devices to process data locally, ensuring faster responses and less reliance on internet connectivity.
  • вопрос: What hardware specifications are required to use the Google Coral USB Accelerator?

    отвечать: To use the Google Coral USB Accelerator, you'll need a device that supports USB 3.0 Type-C and runs a compatible operating system like Debian Linux or Raspberry Pi OS. A system with at least 2GB of RAM and a multi-core processor is recommended to maximize performance. This setup allows the Accelerator to work effectively, making it suitable for deploying performance-intensive applications.
  • вопрос: What can I do if the Google Coral USB Accelerator is not recognized by my system?

    отвечать: If the Google Coral USB Accelerator is not recognized, first check your USB connection and ensure it is securely plugged into a USB 3.0 port. Next, verify that you have the appropriate drivers installed and that your operating system is updated. Sometimes, running specific initialization commands in your OS can help. Researching troubleshooting tips or consulting the community forums can provide additional solutions tailored to your setup.
  • вопрос: Can the Google Coral USB Accelerator be used with other operating systems besides Debian Linux?

    отвечать: Yes, while Debian Linux is the primary supported operating system, the Google Coral USB Accelerator can also function with other Linux distributions. Users often leverage support for Ubuntu and Raspberry Pi OS. This flexibility allows developers to integrate the Accelerator into various environments, making it an attractive option for a broad range of embedded projects, from education to industry.
  • вопрос: Where can I buy Google Coral USB Accelerator: ML Accelerator, USB 3.0 Type-C, Debian Linux Compatible in Tajikistan?

    отвечать: You can buy the Google Coral USB Accelerator from Ubuy in Tajikistan. Ubuy offers a wide selection of tech products, including the Google Coral USB Accelerator, ensuring convenient access to this vital machine learning tool for professionals and enthusiasts alike.

Google USB Cables G950-06809-01 Editorial Review

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The Coral USB Accelerator is a game-changer for anyone using Frigate and Home Assistant for object detection. It significantly speeds up processing time, reduces CPU usage, and improves overall performance. It is compact, easy to set up, and energy efficient. However, some customers have experienced overpricing and delays in delivery.

Customer Reviews & Ratings

4.6
459 оценки клиентов
  • 5 звезда
    75%
  • 4 звезда
    14%
  • 3 звезда
    8%
  • 2 звезда
    0%
  • 1 звезда
    3%

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Плюсы

  • Significantly speeds up object detection tasks
  • Reduces CPU usage
  • Improves performance of object detection models
  • Compact and easy to set up
  • Energy efficient

Минусы

  • Overpricing compared to other shops

Platform Trust & Buyer Confidence

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4.3/5 9,000 + reviews
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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
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