- 主頁 /
- 電腦和配件 /
- Single-Board Computers & Accessories /
- USB Edge TPU ML Accelerator coprocessor for Raspberry Pi and Other Embedded Single Board Computers
0 ratings
商品＃:
62198572
USB Edge TPU ML Accelerator coprocessor for Raspberry Pi and Other Embedded Single Board Computers
商品＃:
62198572
TWD 4900
Price Details
Excluding Shipping & Custom charges ( Shipping and custom charges will be calculated on checkout )
*All items will import from 英國
0 ratings
撰寫評論
有存貨
從UK商店匯入
立即訂購並活動它 週六, 七月 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.
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 英國 store (230 V). Recommended power converters 立即購買.
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.
產品詳情
- 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.
產品描述
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!.
有疑問？ 和我們聊天
客戶問答
-
問題:
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. -
問題:
Which models does the Coral USB Accelerator support?
Answer: It fully supports MobileNet and Inception architectures though custom architectures are possible. -
問題:
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
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 客戶評價
-
5 星
100%
-
4 星
0%
-
3 星
0%
-
2 星
0%
-
1 星
0%
評論這個產品
和其他客戶分享您的想法
優點
- 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
缺點
- Initial setup challenges with recognition and compatibility on certain systems
Platform Trust & Buyer Confidence
MT
Mohd
Verified buyer
“The product received very good packaging & safe…Thank You”
16 June 2026 · via Trustpilot
SJ
Shawati
Verified buyer
“Accurate delivery timing given”
16 June 2026 · via Trustpilot
YB
Youcef
Verified buyer
“Not madly expensive like I thought, and much quicker than promised.”
15 June 2026 · via Trustpilot
LM
Leila
Verified buyer
“Never dealt with Ubuy before, but everything worked out great. Seamless cross border purchasing and shipping. Thanks!”
6/7/2026 · via Trustpilot
KA
Kwame
Verified buyer
“The process was smooth, with clear communication and timelines. This was my 1st purchase and I am really impressed. I will definitely be coming back.”
12 June 2026 · via Trustpilot
安全結帳
Global Delivery
Easy Returns
Genuine Products
Product Price History
重要資訊
- 限制：對於國際運輸的產品，請注意任何製造商保修可能無效；製造商服務選項可能不可用；產品手冊、說明和安全警告可能不是目的地國家的語言；產品（及隨附材料）的設計可能不符合目的地國家的標準、規範和標籤要求；並且產品可能不符合目的地國家的電壓和其他電氣標準（如果適用，需要使用適配器或轉換器）。收件人有責任確保產品可以合法進口到目的地國家。當從Ubuy或其關聯公司訂購時，收件人是記錄在案的進口人，並且必須遵守目的地國家的所有法律和法規。
- 由於Ubuy是一個全球搜索引擎，因此並非Ubuy上列出的所有產品都在出售。產品受出口/貿易法規的約束。
TWD 4900
立即訂購並活動它 週六, 七月 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
特色和優勢
- 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.