- Home Page /
- Computers & Accessories /
- Single-Board Computers & Accessories /
- USB Edge TPU ML Accelerator coprocessor for Raspberry Pi and Other Embedded Single Board Computers
0 ratings
Item #:
62198572
USB Edge TPU ML Accelerator coprocessor for Raspberry Pi and Other Embedded Single Board Computers
Item #:
62198572
NZD 252
Price Details
Excluding Shipping & Custom charges ( Shipping and custom charges will be calculated on checkout )
*All items will import from UK
Afterpay Information
Split your bill into 4 payments of NZD 63 interest-free
Add the item to your cart
Select Afterpay at checkout
Fill in your details
Complete your first payment
and pay the remaining in easy instalments or according to the payment plan you selected
Here’s why you should Afterpay it
Get everything you need now..
Shop thousands of brands and millions of products, online and in-store.
Pay over six weeks.
Make the first payment upfront and the rest over time. Always interest-free when you pay it in 4.
No fees when you pay on time.
We’ll send you reminders and cap late payments to help you get back on track.
(1) Terms and conditions. apply. (2) Installment Agreement. (3) Eligible for customers in. New Zealand, (4) Your final payment plan may vary depending on your credit history.
0 ratings
Write a review
In stock
Imported from UK store
QTY:
Order now and get it around Saturday, July 11
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.
Buy Now Pay Later
Fast
Shipping
Free
Return*
Secure Packaging
100% Original Products
PCI DSS Compliance
ISO 27001 Certified
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.
Product Details
- 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
| Item Weight | 0.2 lbs (90 grams) |
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.
-
Complex ML Tasks
Ineffective for heavy-duty machine learning tasks that require powerful processing capabilities beyond its edge TPU limitations.
-
Budget-Conscious Buyers
May not appeal to users looking for cost-effective solutions, as the product could be considered relatively expensive.
Product Description
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!.
Have any Query? Chat with us
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.
View LessThe 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
Customer Questions & Answers
-
Question:
What is the Edge TPU?
Answer: 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. -
Question:
Which models does the Coral USB Accelerator support?
Answer: It fully supports MobileNet and Inception architectures though custom architectures are possible. -
Question:
What is included in the package?
Answer: The package includes the Coral USB Accelerator and a USB Type-C to Type-A cable.
Google Coral Single-Board Computers & Accessories Editorial Review
No editorial reviews found
Customer Reviews & Ratings
1 customers ratings
-
5 Star
100%
-
4 Star
0%
-
3 Star
0%
-
2 Star
0%
-
1 Star
0%
Review this product
Share your thoughts with other customers
Platform Trust & Buyer Confidence
NA
Naylz
Verified buyer
“Purchased a YAMATIC 3/4" Shaft Horizontal Pressure Washer Pump 3400 PSI 2.5 GPM as a replacement for my GC190 water blaster. Fits perfectly and works well. Easy transaction and reasonable delivery to New Zealand.”
6 June 2026 · via Trustpilot
EG
Eduardo
Verified buyer
“great service, quick delivery and comunication”
2 June 2026 · via Trustpilot
DR
Dave
Verified buyer
“First time using Ubuy. Simple to use, well packed and faster than expected delivery. Was about the only way to get this item I've been after for almost a year … thank you Ubuy!”
15 May 2026 · via Trustpilot
DD
David
Verified buyer
“First time using Ubuy and very impressed. Items arrived from the USA super fast and are such a top-quality product. I will definitely be back to purchase again. Cannot recommend you highly enough for a hassle-free & efficient service. Thank you so much. I am one very happy customer.”
14 May 2026 · via Trustpilot
J
John
Verified buyer
“Very happy with the light. I wanted something a little different for a bedside lamp and find this is great. Easy to operate with a single button to turn it off and on and control the brightness and colour temperature. The item was sent quickly and a hassle free purchase.”
23 April 2026 · via Trustpilot
Secure Checkout
Global Delivery
Easy Returns
Genuine Products
Product Price History
Important information
- Limitations : For products shipped internationally, please note that any manufacturer warranty may not be valid; manufacturer service options may not be available; product manuals, instructions, and safety warnings may not be in destination country languages; the products (and accompanying materials) may not be designed in accordance with destination country standards, specifications, and labeling requirements; and the products may not conform to destination country voltage and other electrical standards (requiring use of an adapter or converter if appropriate). The recipient is responsible for assuring that the product can be lawfully imported to the destination country. When ordering from Ubuy or its affiliates, the recipient is the importer of record and must comply with all laws and regulations of the destination country.
- Not all the products listed on Ubuy are for sale, as Ubuy is a global search engine. Products are subject to export/trade regulations.
NZD 252
Order now and get it around Saturday, July 11
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
Features & Benefits
- 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.