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Numéro d'article:
12460193
USB Edge TPU ML Accelerator coprocessor for Raspberry Pi and Other Embedded Single Board Computers
Numéro d'article:
12460193
CAD 222
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Coral USB Accelerator provides high performance ML inferencing with a low power cost over a USB 3.0 interface.
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Ce qui se démarque
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.
Détails du produit
- 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
| Package Weight | 1.0000 Pound |
À qui est-ce destiné ?
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AI Enthusiasts
Great for hobbyists experimenting with AI projects on Raspberry Pi or other embedded systems requiring on-device machine learning.
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Developers
Ideal for software developers looking to prototype and deploy machine learning applications in a compact, efficient environment.
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Robotics Engineers
Designed for robotics projects needing efficient computation power for image processing and real-time decision-making capabilities.
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Casual Users
Not suitable for individuals seeking simple computing solutions without advanced machine learning applications or expertise.
DESCRIPTION DU PRODUIT
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!.
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Product Buying Guide
The Google Coral USB Edge TPU ML Accelerator coprocessor is designed to bring powerful machine learning (ML) inferencing capabilities to existing Linux systems. It features the Edge TPU, a custom-made ASIC by Google, and provides high-performance ML inferencing with low power consumption over a USB 3.0 interface. This guide will help you explore the product's specifications, key features, usage scenarios, competitor comparison, user reviews, price analysis, and essential buying considerations to help you make an informed decision.
Product Specifications
- Arm 32-bit Cortex-M0+ microprocessor (MCU): Up to 32 MHz max
- 16 KB flash memory with ECC
- 2 KB RAM
- Connections: USB 3.1 (gen 1) port and cable (SuperSpeed, 5Gb/s transfer speed)
Key Features
- Google Edge TPU ML accelerator coprocessor
- USB 3.0 Type-C socket
- Supports Debian Linux on host CPU
- Models are built using TensorFlow
- Fully supports MobileNet and Inception architectures
Usage Scenarios
- High-speed TensorFlow Lite inferencing
- Low power consumption
- Small footprint, ideal for embedded AI devices
Usage Scenarios
The Google Coral USB Edge TPU ML Accelerator coprocessor competes with similar products available in the market. These competitors offer alternative ML acceleration solutions with varying features and performance.
Some User Review
- The speed and low power consumption of the Edge TPU accelerator have significantly improved my ML inferencing tasks.
- The compatibility with Debian Linux and TensorFlow makes it a versatile and efficient ML inferencing solution.
Competitors
The Google Coral USB Edge TPU ML Accelerator coprocessor offers competitive pricing in the market, considering its cutting-edge ML inferencing capabilities, power efficiency, and Google's reliability. It provides excellent value for users seeking high-performance ML acceleration.
Buying Considerations
- Ensure compatibility with your specific embedded system or single-board computer to maximize the benefits of the Edge TPU accelerator.
- Evaluate the ML inferencing requirements of your projects to determine if the features and performance of the Edge TPU align with your needs.
Conclusion
With its powerful machine learning inferencing capabilities, low power consumption, and diverse usage scenarios, the Google Coral USB Edge TPU ML Accelerator coprocessor offers a compelling solution for embedded AI devices and ML projects. It's a versatile, reliable, and cost-effective choice for enhancing ML performance on existing Linux systems.
Afficher moinsThe Google Coral USB Edge TPU ML Accelerator coprocessor is designed to bring powerful machine learning (ML) inferencing capabilities to existing Linux systems. It features the Edge TPU, a custom-made ASIC by Google, and provides high-performance ML inferencing with low power consumption over a USB 3.0 interface. This guide will help you explore the product's specifications, key features, usage scenarios, competitor comparison, user reviews, price analysis, and essential buying considerations to help you make an informed decision. Continue Reading
Questions et réponses des clients
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question:
Comment acheter USB Edge TPU ML Accelerator coprocessor for en ligne sur Ubuy ?
répondre: Il est facile d'acheter USB Edge TPU ML Accelerator coprocessor for en ligne sur Ubuy.. Il vous suffit de rechercher le produit, de choisir votre mode d'expédition lors du paiement et de le faire livrer à votre emplacement. -
question:
USB Edge TPU ML Accelerator coprocessor for est-il disponible pour effectuer des achats en ligne à Canada ?
répondre: Oui, chez Ubuy Canada, ce produit est disponible pour vous à un prix raisonnable.. Le USB Edge TPU ML Accelerator coprocessor for n'est pas disponible localement mais vous pouvez nous faire confiance avec nos services d'expédition express. -
question:
Combien de temps faut-il pour obtenir le produit après avoir passé la commande ?
répondre: Le délai de livraison de votre produit commandé varie en fonction de ce que vous avez commandé et de la méthode d'expédition que vous avez choisie.. Le délai de livraison estimé est mentionné lors du processus de commande, alors soyez insouciant lors de vos achats.
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CAD 222
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Conforme PCI DSS et certifié ISO 27001:2022, avec des paiements chiffrés et une protection complète de l'acheteur pour chaque commande.
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Livraison transfrontalière la plus rapide
Caractéristiques et avantages
- 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
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