Google Coral USB Edge TPU ML Beschleunigungscoprozessor für Raspberry Pi und andere eingebettete Einzelboard-Computer
genuine image
Google Coral USB Edge TPU ML Beschleunigungscoprozessor für Raspberry Pi und andere eingebettete Einzelboard-Computer
Coral USB Accelerator provides high performance ML inferencing with a low power cost over a USB 3.0 interface.
Google Coral USB Edge TPU ML Beschleunigungscoprozessor für Raspberry Pi und andere eingebettete Einzelboard-Computer
Artigo n.º: 229165007

Google Coral USB Edge TPU ML Beschleunigungscoprozessor für Raspberry Pi und andere eingebettete Einzelboard-Computer

Artigo n.º: 229165007

MZN 11547

Detalhes do Preço

Excluindo custos de envio e alfandegários ( Os custos de envio e alfandegários serão calculados na finalização da compra )

*Todos os artigos serão importados de EU

Em stock
eu Importado da loja EU

Qtd.:

Encomende já e receba por volta de Sexta-Feira, Agosto 28
Transação seguraTransação segura

A Ubuy trabalha arduamente para proteger a sua segurança e privacidade. O nosso sistema avançado de segurança de pagamentos garante a confidencialidade ao encriptar as suas informações durante a transmissão, utilizando os protocolos AES (Normas de Encriptação Avançada) e SSL (Camada de Sockets Seguros). Os seus dados de pagamento estão 100% seguros, pois não partilhamos os seus dados de pagamento com vendedores terceiros.

Os nossos principais Parceiros Logísticos
  • fedex
  • dhl
Coral USB Accelerator provides high performance ML inferencing with a low power cost over a USB 3.0 interface.
fast shipping

Fast
Shipping

free return

Devolução
gratuita*

Embalagem Segura

Embalagem Segura

Produtos 100% Originais

Produtos 100% Originais

pci-dss

Certificação PCI DSS

iso certified

Certificação ISO 27001

paypal payment
visa payment
mastercard payment

O que se Destaca

Edge AI Processing
Accelerates machine learning tasks on embedded systems, enabling quick model inference and reduced latency for complex applications.
Seamless Integration
Easily connects to Raspberry Pi and other single-board computers, simplifying the implementation of AI in various tech projects.
Energy Efficient
Designed for low power consumption, allowing for high-performance operations without draining power, making it ideal for IoT devices.

Detalhes do produto

Shop Google Coral USB Edge TPU ML Beschleunigungscoprozessor für Raspberry Pi und andere eingebettete Einzelboard-Computer online at a best price in Mozambique. B07R53D12W
  • 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
Gru00f6u00dfe des installierten RAM2 KB
Kapazitu00e4t des Arbeitsspeichers16 KB
Prozessorgeschwindkeit32 MHz
NetzwerkverbindungUSB
BetriebssystemLinux
ProzessormarkeARM
Kompatible Geru00e4tePC, Laptop, Raspberry Pi, andere Linux-Geru00e4te
RAM-SpeichertechnikLPDDR
Prozessoranzahl1
Anzahl USB-Ausgu00e4nge1
Smart-Home-Kompatibilitu00e4tNicht Smart-Home-kompatibel
Artikel Abmessungen L x B x H7,6L x 5,1B x 2,5H cm
MarkePelbaikim
ModellnameCoral-USB-Accelerator
UPC608614201389
Hersteller-ModellnummerCoral-USB-Accelerator
Hersteller-TeilenummerCoral-USB-Accelerator
HerstellerGoogle Coral
Anzahl von Einheiten1.0 stu00fcck
Gru00f6u00dfe des installierten RAM-Speichers2 KB
Speicherkapazitu00e4t16 KB
CPU-Taktfrequenz32 MHz

Quem Deverá Comprar?

Suitable For
  • Machine Learning Enthusiasts

    Ideal for hobbyists experimenting with machine learning projects on Raspberry Pi due to its high processing capability.

  • Developers and Engineers

    Perfect for developers needing fast inference for AI applications in embedded systems and prototypes.

  • IoT Solutions Designers

    Great for those building IoT applications that require edge computing for real-time data processing.

Not Suitable For
  • Casual Users

    Not suitable for casual users with no technical background or experience in machine learning and programming.

DESCRIÇÃO DO PRODUTO

Google Coral USB Edge TPU ML Beschleunigungscoprozessor für Raspberry Pi und andere eingebettete Einzelboard-Computer

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!.

Tem alguma Dúvida? Converse connosco

Perguntas e respostas do cliente

  • Pergunta: What is the Edge TPU?

    Resposta: 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.
  • Pergunta: Which models does the Coral USB Accelerator support?

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

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

Pelbaikim USB-Kabel Editorial Review

The Google Coral USB Edge TPU ML Accelerator has garnered a positive reception among users, particularly those leveraging it for AI-driven applications like surveillance and local machine learning tasks. Users report significant efficiency improvements when incorporating the TPU into their systems, particularly with software such as Frigate, Home Assistant, and Q Magic. The device is recognized for its ease of integration, with many users praising how straightforward the setup process is, especially in Linux environments such as Proxmox. One of the standout features is the substantial reduction in CPU load, allowing even older hardware to efficiently run complex machine learning models for tasks like object detection without diminishing performance. Reviewers highlight its effectiveness in parallel processing, managing multiple camera feeds seamlessly while maintaining optimal thermal performance—most users noted the device operates only slightly warm even under continuous use. Particularly appealing is its ability to run on low power while still delivering high performance, making it an excellent choice for users looking to implement local AI solutions without relying on cloud services. Its suitability for long-term use in a 24/7 operational context has also been confirmed, with users noting it has worked reliably for extended periods. **

Avaliações e Classificações dos Clientes

1 classificações de clientes
  • 5 Estrela
    100%
  • 4 Estrela
    0%
  • 3 Estrela
    0%
  • 2 Estrela
    0%
  • 1 Estrela
    0%

Avaliar este produto

Partilhe as suas ideias com outros clientes

Prós

  • Significant reduction in CPU load for AI tasks.
  • Easy to set up and integrate into existing systems.
  • High performance for local machine learning applications.
  • Low power Consumption and minimal heat generation.
  • Reliable operation in continuous use scenarios.

Contras

  • The host computer must have adequate performance to support the TPU.

CONFIANÇA NA PLATAFORMA E SEGURANÇA DO COMPRADOR

trustpilot logo
4.2/5 9250 + reviews
Ler avaliações
MA
Mohammad
Comprador verificado

“Excellent quality and original too,when ubuy send original things I will appreciate that ,I very satisfied thank you”

23 July 2026 · via Trustpilot
CK
Chitra
Comprador verificado

“The order and delivery progress was communicated very well. Package arrived within the estimated time. Products arrived as expected in good condition.”

22-Jul-26 · via Trustpilot
K
kund
Comprador verificado

“Good supply of products. Safe payment methods, and shipment worldwide! Genuine products.”

23-Jul-26 · via Trustpilot
OO
Onesi
Comprador verificado

“Was my first time buying a product from Ubuy, but I found it so helpful. This is reliable. Gonna place a new order!”

22 July 2026 · via Trustpilot
SJ
SAO JOHN
Comprador verificado

“Ubuy is a great online platform to buy stuff. Reliable, fast delivery time and great value for money. I've been using Ubuy online shopping platform for three years now and will continue to do so.”

23 July 2026 · via Trustpilot
Checkout Seguro Entrega Global Devoluções Fáceis Produtos Genuínos

Informação importante

  • Limitações: para produtos expedidos internacionalmente, tenha em atenção que qualquer garantia do fabricante pode não ser válida; opções de serviço do fabricante podem não estar disponíveis; manuais de produtos, instruções e avisos de segurança podem não estar nas línguas do país de destino; os produtos (e materiais que o acompanham) pode não ter sido concebido em conformidade com as normas, especificações e requisitos de rotulagem do país de destino; e os produtos podem não estar em conformidade com a voltagem e outras normas elétricas do país de destino (requerendo assim o uso de um adaptador ou conversor caso seja apropriado). O destinatário é responsável por garantir que o produto pode ser legalmente importado para o país de destino. Quando encomenda à Ubuy ou aos seus afiliados, o destinatário é o importador de registo e deve estar em conformidade com todas as leis e regulamentos do país de destino.
  • Nem todos os produtos listados na Ubuy estão à venda, uma vez que a Ubuy é um motor de busca global. Os produtos estão sujeitos a leis de exportação/comércio.

MZN 11547

Encomende já e receba por volta de Sexta-Feira, Agosto 28

Qtd.:

Transação seguraTransação segura

Em conformidade com a norma PCI DSS e com certificação ISO 27001:2022, com pagamentos encriptados e proteção total do comprador em todas as encomendas.

Os nossos principais Parceiros Logísticos
  • fedex
  • dhl
Entrega internacional mais rápida

Recursos e benefícios

  • 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.