- Página de inicio /
- Computadoras y accesorios /
- Single-Board Computers & Accessories /
- USB Edge TPU ML Accelerator coprocessor for Raspberry Pi and Other Embedded Single Board Computers
0 ratings
Nº de artículo:
62198572
USB Edge TPU ML Accelerator coprocessor for Raspberry Pi and Other Embedded Single Board Computers
Nº de artículo:
62198572
COP 601970
Price Details
Excluding Shipping & Custom charges ( Shipping and custom charges will be calculated on checkout )
*All items will import from REINO UNIDO
0 ratings
Escribe una opinión
En stock
Importado de la tienda UK
QTY:
Haz tu pedido ahora y recíbelo por ahí Sábado, Agosto 29
Secured transaction
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.
Our Top Logistics Partners
Coral USB Accelerator provides high performance ML inferencing with a low power cost over a USB 3.0 interface.
Fast
Shipping
Free
Return*
Secure Packaging
100% Original Products
PCI DSS Compliance
ISO 27001 Certified
Note: Step Up Voltage Transformer required for using electronics products of REINO UNIDO store (230 V). Recommended power converters Comprar ahora.
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.
Detalles de producto
- 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
| Memory Storage Capacity | 16 KB |
| Network Connectivity Technology | USB |
| Operating System | Linux |
| Processor Brand | ARM |
| Processor Count | 1 |
| Total USB Ports | 1 |
| Item Dimensions L x W x H | 7.6L x 5.1W x 2.5H centimetres |
| Brand Name | Google Coral |
| Model Name | Coral-USB-Accelerator |
| UPC | 608614201389 |
| Model Number | Coral-USB-Accelerator |
| Manufacturer Part Number | Coral-USB-Accelerator |
| Manufacturer | Google Coral |
| Brand | Google-Coral |
| Connectivity technology | USB |
Who Should Buy?
-
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.
-
General Users
Not suitable for casual users lacking programming skills or AI knowledge to leverage advanced machine learning capabilities.
DESCRIPCIÓN DEL PRODUCTO
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!.
¿Tienes alguna consulta? Chatea con nosotros
Preguntas y respuestas de los clientes
-
Pregunta:
¿Cómo comprar USB Edge TPU ML Accelerator coprocessor for en línea desde Ubuy?
Respuesta: Es fácil comprar USB Edge TPU ML Accelerator coprocessor for en línea desde Ubuy.. Solo tiene que buscar el producto, elegir su método de envío al pagar y recibirlo en su ubicación. -
Pregunta:
¿Está USB Edge TPU ML Accelerator coprocessor for disponible para comprar en línea en Colombia?
Respuesta: Sí, en Ubuy Colombia, este producto está disponible para que lo compre a un precio razonable.. El USB Edge TPU ML Accelerator coprocessor for no está disponible localmente, pero puede confiar en nosotros con nuestros servicios de envío exprés. -
Pregunta:
¿Cuánto tiempo se tarda en obtener el producto después de realizar el pedido?
Respuesta: El tiempo de entrega de su producto pedido varía según lo que haya pedido y el método de envío que haya elegido.. El tiempo de entrega estimado se menciona durante el proceso de pago, así que no se preocupe mientras compra.
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
1 valoraciones de los clientes
-
5 estrella
100%
-
4 estrella
0%
-
3 estrella
0%
-
2 estrella
0%
-
1 estrella
0%
Revisar este producto
Comparte tus ideas con otros clientes
ventajas
- 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
Contras
- Initial setup challenges with recognition and compatibility on certain systems
Product Price History
Información importante
- Limitaciones: Para los productos enviados al extranjero, ten en cuenta que cualquier garantía del fabricante puede no ser válida; las opciones de servicio del fabricante pueden no estar disponibles; los manuales del producto, las instrucciones y las advertencias de seguridad pueden no estar en los idiomas del país de destino; los productos (y los materiales que los acompañan) pueden no estar diseñados de acuerdo con las normas, especificaciones y requisitos de etiquetado del país de destino; y los productos pueden no ajustarse al voltaje del país de destino y a otras normas eléctricas (lo que requiere el uso de un adaptador o convertidor, si procede). El destinatario es responsable de asegurarse de que el producto puede ser importado legalmente al país de destino. Cuando hagas un pedido a Ubuy o a sus filiales, el destinatario es el importador registrado y debe cumplir todas las leyes y normativas del país de destino.
- No todos los productos que aparecen en Ubuy están a la venta, ya que Ubuy es un motor de búsqueda a nivel mundial. Los productos están sujetos a las normas de exportación/comercio.
COP 601970
Haz tu pedido ahora y recíbelo por ahí Sábado, Agosto 29
This item is not restrict in my country.(Please click on above link if this item is not restrict in your country, So our team will review and allow.)
QTY:
Secured transaction
PCI DSS compliant and ISO 27001:2022 certified, with encrypted payments and full buyer protection on every order.
Our Top Logistics Partners
Fastest cross-border delivery
características y beneficios
- 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.