- Home Page /
- Computers /
- Single-Board Computers & Accessories /
- Single Board Computers /
- USB Edge TPU ML Accelerator processor for Raspberry Pi ...
0 ratings
Item #:
181267336
USB Edge TPU ML Accelerator processor for Raspberry Pi and Other Embedded Single Board Computers
Item #:
181267336
BIF 533110
Price Details
Excluding Shipping & Custom charges ( Shipping and custom charges will be calculated on checkout )
*All items will import from JP
0 ratings
Write a review
In stock
Imported from Japan store
QTY:
Only 7 items left in stock.
Order now and get it around Monday, August 31
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 Down Voltage Transformer required for using electronics products of JAPAN store (100 V). Recommended power converters Buy Now.
What Stands Out
High performance
Accelerates machine learning tasks with exceptional speed, enabling real-time inference on edge devices, significantly enhancing the capabilities of Raspberry Pi and other embedded systems.
Compact design
Designed for space-constrained applications, this small coprocessor integrates seamlessly with embedded single-board computers, maintaining a clean and efficient architecture.
Versatile compatibility
Compatible with various embedded platforms beyond Raspberry Pi, offering users the flexibility to implement machine learning across diverse projects and environments, maximizing investment potential.
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
| Memory Storage Capacity | 16 KB |
| Processor Speed | 32 MHz |
| Connectivity Technology | USB |
| Operating system | Linux |
| Processor Brand | ARM |
| RAM Memory Technology | LPDDR3 |
| Processor Count | 1 |
| Total Usb Ports | 1 |
| Brand | Google-Coral |
| UPC | 608614201389 |
| Model Number | Coral-USB-Accelerator |
| Mfr Part Number | Coral-USB-Accelerator |
| Manufacturer | Google Coral |
| CPU Speed | 32 MHz |
| Item Weight | 0.2 lbs (90 grams) |
Who Should Buy?
-
AI Developers
Ideal for developers creating machine learning models and applications on Raspberry Pi and embedded systems.
-
Hobbyist Projects
Perfect for hobbyists interested in integrating machine learning capabilities into their DIY electronics projects.
-
Educational Use
Great for educators teaching AI concepts and hands-on machine learning in a classroom or workshop setting.
-
Casual Users
Not suited for general users looking for simple plug-and-play solutions without a technical background.
Product Description
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
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 Coral-USB-Accelerator Editorial Review
The Google Coral USB Edge TPU ML Accelerator is garnering positive attention for its performance, particularly in applications such as CCTV processing and machine learning inference. Users have found it to be a valuable addition to their Raspberry Pi and other embedded systems, particularly when paired with software like the Frigate CCTV system. The device seamlessly integrates, enabling efficient offloading of image processing tasks; this prevents overwhelming the host computer and enhances reliability in person and car detection. Users have reported significant improvements in inference times, with one individual noting a reduction from 1-1.5 seconds down to under 20 milliseconds when using TensorFlow Lite with the Coral. This leap in performance is highlighted as "amazing," and suggests that the device's capabilities notably exceed those of even relatively powerful processors like the 8th gen i5 NUC. Despite its higher price point, many Consumers feel justified in their purchase because of the efficiency gains it provides in machine learning applications. However, there are some technical hiccups to Consider; several users have experienced issues with the device being intermittently detected on Linux systems, primarily due to cheap USB cables. Those who invested in a better quality cable found that their problems were resolved, indicating that users should ensure they have robust connections for optimal performance. Overall, the Google Coral USB Edge TPU ML Accelerator is praised for its unparalleled performance in specialized applications, making it a strong choice for those looking to enhance their machine learning capabilities on low-power devices. **
Customer Reviews & Ratings
2 customers ratings
-
5 Star
48%
-
4 Star
52%
-
3 Star
0%
-
2 Star
0%
-
1 Star
0%
Review this product
Share your thoughts with other customers
Pros
- Significant reduction in inference time for machine learning tasks
- Seamless integration with popular software like Frigate
- Efficient offloading of image processing from host devices
Cons
- Higher price point may deter some customers
Platform Trust & Buyer Confidence
MA
Mohammad
Verified buyer
“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
Verified buyer
“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
Verified buyer
“Good supply of products. Safe payment methods, and shipment worldwide! Genuine products.”
23-Jul-26 · via Trustpilot
OO
Onesi
Verified buyer
“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
Verified buyer
“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
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.
BIF 533110
Order now and get it around Monday, August 31
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:
Only 7 items left in stock.
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 architects though custom architects 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.