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- Google Coral USB Accelerator: ML Accelerator,...
Google Coral USB Accelerator: ML Accelerator, USB 3.0 Type-C, Debian Linux Compatible
€ 162
Detalles del precio
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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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Detalles del producto
- 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
| Dispositivos compatibles | Computers 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 |
| Tipo de conector | USB Type C |
| Número de Puertos | 1 |
| Tipo de enchufe de alimentación | Sin enchufe |
| Marca | |
| Número de modelo | G950-06809-01 |
| UPC | 842776110077 |
| Número de Identificación del Comercio Global | 00842776110077 |
| Fabricante | Google LLC |
| Medios Integrados | Cable USB |
| Número de pieza de Mfr | G950-01456-01 |
| Dimensiones del artículo | 5.51 x 2.36 x 4.72 inches (14 x 6 x 12 cm) |
| Cantidad de Paquete | 1 |
| Cantidad de unidades | 1 Cuenta |
| Número de artículos | 1 |
| Color | Coral |
| Dispositivos compatibles | Computers 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 |
| Dimensiones del artículo L x W x H | 5.51 x 2.36 x 4.72 inches (14 x 6 x 12 cm) |
| Peso del paquete | 1 libra |
Contenido de la caja
Cable USB
¿Quién debería comprarlo?
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AI Researchers
Perfect for researchers who require accelerated processing for machine learning models and quick experimentation with ML workloads.
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IoT Developers
Ideal for developers building AI applications in IoT devices, leveraging powerful edge processing capabilities for real-time analytics.
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Makers aficionados
Great for hobbyists and makers experimenting with machine learning projects, providing accessible and affordable ML inference capabilities.
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General Users
Not suitable for casual users without technical knowledge or experience in machine learning and hardware configuration.
DESCRIPCIÓN DEL PRODUCTO
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.
Preguntas y respuestas de los clientes
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Pregunta:
What is the Google Coral USB Accelerator?
Respuesta: 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. -
Pregunta:
How does the Google Coral USB Accelerator improve machine learning tasks?
Respuesta: 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. -
Pregunta:
What types of projects can benefit from using the Google Coral USB Accelerator?
Respuesta: 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. -
Pregunta:
Is the Google Coral USB Accelerator suitable for beginners?
Respuesta: 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. -
Pregunta:
What software frameworks are compatible with the Google Coral USB Accelerator?
Respuesta: 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. -
Pregunta:
Can the Google Coral USB Accelerator be used for cloud applications?
Respuesta: 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. -
Pregunta:
What hardware specifications are required to use the Google Coral USB Accelerator?
Respuesta: 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. -
Pregunta:
What can I do if the Google Coral USB Accelerator is not recognized by my system?
Respuesta: 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. -
Pregunta:
Can the Google Coral USB Accelerator be used with other operating systems besides Debian Linux?
Respuesta: 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. -
Pregunta:
Where can I buy Google Coral USB Accelerator: ML Accelerator, USB 3.0 Type-C, Debian Linux Compatible in Spain?
Respuesta: You can buy the Google Coral USB Accelerator from Ubuy in Spain. 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 Editorial Review
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.
Reseñas y valoraciones de clientes
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5 estrella
75%
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4 estrella
14%
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3 estrella
8%
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2 estrella
0%
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1 estrella
3%
Escribir una reseña de este producto
Comparte tu opinión con otros clientes
Ventajas
- Significantly speeds up object detection tasks
- Reduces CPU usage
- Improves performance of object detection models
- Compact and easy to set up
- Energía eficiente
Desventajas
- Overpricing compared to other shops
CONFIANZA EN LA PLATAFORMA Y SEGURIDAD DEL COMPRADOR
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Historial de precios del producto
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€ 162
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CANT.:
Cumplimos con PCI DSS y contamos con la certificación ISO 27001:2022, con pagos cifrados y protección total del comprador en cada pedido.
Características y beneficios
- Performs high-speed ML inferencing
- Works with Debian Linux
- Supports tensorflow Lite
- Supports automl vision edge
- Ml Accelerator: Google edge TPU Coprocessor
- Connector: USB 3.0 Type-C (data/power)
Garantía Ubuy
Compra sin preocupaciones: productos 100 % originales, pagos seguros conforme a PCI DSS, protección de datos con certificación ISO 27001, la entrega transfronteriza más rápida, devoluciones gratuitas* y embalaje seguro en cada pedido.











