Coral M.2 Accelerator A+E Key,G650-04527-01 SOM- Edge TPU ML Compute Accelerator, M.2-2230-A-E-S3
genuine image
Coral M.2 Accelerator A+E Key,G650-04527-01 SOM- Edge TPU ML Compute Accelerator, M.2-2230-A-E-S3
Performs high-speed ML inferencing with on-board Edge TPU coprocessor capable of performing 4 trillion operations per second (TOPS), using 0.5 watts for each TOPS.
Coral M.2 Accelerator A+E Key,G650-04527-01 SOM- Edge TPU ML Compute Accelerator, M.2-2230-A-E-S3
商品＃: 19795334

Coral M.2 Accelerator A+E Key,G650-04527-01 SOM- Edge TPU ML Compute Accelerator, M.2-2230-A-E-S3

商品＃: 19795334

JPY 15728

価格の詳細

Excluding Shipping & Custom charges ( Shipping and custom charges will be calculated on checkout )

*All items will import from アメリカ

在庫あり
アメリカ USA ストアからの輸入品

数量：

今すぐ注文すると 頃に届きます 土曜日, 8月 15
安全な取引安全な取引

Ubuyはお客様のセキュリティとプライバシーの保護に努めています。当社の高度な決済セキュリティシステムは、AES（高度暗号化標準）およびSSL（セキュアソケットレイヤー）プロトコルを使用して送信中の情報を暗号化することで機密性を確保しています。お客様の決済情報は第三者の販売者と共有されることはなく、100%安全に保護されています。

最高の物流パートナー
  • fedex
  • dhl
Performs high-speed ML inferencing with on-board Edge TPU coprocessor capable of performing 4 trillion operations per second (TOPS), using 0.5 watts for each TOPS.
U-Care保証：
なし
プランを選択してください
fast shipping

Fast
Shipping

free return

Free
Return*

安全な梱包

安全な梱包

100％正規品

100％正規品

pci-dss

PCI DSS 準拠

iso certified

ISO 27001認証取得

paypal payment
visa payment
mastercard payment
american express payment
jcb payment

この商品の利点

High Performance
The Edge TPU provides superior machine learning inference performance, enabling faster processing of complex tasks in both legacy and modern systems.
Versatile Compatibility
Integrates easily with new and existing systems through the M.2 interface, allowing for flexible deployment without extensive redesign.
Reduced Latency
Designed for edge computing, the SOM minimizes data transfer time, enhancing real-time decision-making capabilities essential for advanced applications.

製品詳細

Shop for Google Coral System-On-Modules at Ubuy 日本. Integrate into legacy and new systems using M.2 A+E key interface. Performs high-speed ML inferencing with Edge TPU coprocessor. Supports TensorFlow Lite and AutoML Vision Edge. Works with Debian Linux.
Package Weight1.18 Pound

どんな人にお勧めですか？

Suitable For
  • Machine Learning Developers

    Ideal for developers seeking to integrate machine learning capabilities into their applications using Edge TPU.

  • Embedded System Engineers

    Perfect for engineers working on legacy systems wanting to enhance performance with advanced TPU capabilities.

  • IoT Device Manufacturers

    Beneficial for those creating IoT devices that require efficient ML processing at the edge for real-time data analysis.

Not Suitable For
  • Casual Users

    Not suitable for non-technical users without knowledge of hardware integration and machine learning concepts.

製品説明書

Coral M.2 Accelerator A+E Key,G650-04527-01 SOM- Edge TPU ML Compute Accelerator, M.2-2230-A-E-S3

何か質問はありますか？ チャットでお問い合わせください

お客様からの質問と回答

  • 質問: What is the Coral M.2 Accelerator AE Key?

    回答: The Coral M.2 Accelerator AE Key is a compact ML compute accelerator designed to deliver high performance for machine learning tasks. Equipped with Google's Edge TPU, it allows for efficient processing of AI workloads directly on the device. This is particularly useful in edge computing scenarios where low latency and fast processing capabilities are required. For instance, it can be utilized in smart cameras for real-time image recognition, enabling applications like anomaly detection or object tracking.
  • 質問: What are the main features of the Coral M.2 Accelerator AE Key?

    回答: The main features of the Coral M.2 Accelerator AE Key include its Edge TPU coprocessor, which provides accelerated inference for neural networks, and a compact M.2 2230 form factor that makes it suitable for integration with various devices. It also supports TensorFlow Lite, making it easier to deploy machine learning models. An example use case is enhancing IoT devices’ capacity to analyze data on-site, improving tasks such as predictive maintenance in industrial applications.
  • 質問: How does the Coral M.2 Accelerator improve machine learning performance?

    回答: The Coral M.2 Accelerator enhances machine learning performance by providing specialized hardware designed specifically for neural network inference. It operates with low power consumption while delivering high throughput, making it ideal for applications requiring real-time processing without the need for data center resources. For instance, used in drones, it can process images for obstacle avoidance on-the-fly, which is critical for safe navigation.
  • 質問: What software compatibility does the Coral M.2 Accelerator AE Key offer?

    回答: The Coral M.2 Accelerator AE Key is primarily compatible with TensorFlow Lite, enabling developers to easily train and deploy models tailored for edge devices. Furthermore, it supports various operating systems such as Linux and specific Raspberry Pi distributions. This compatibility ensures that developers can integrate AI into a range of applications, from smart home devices to advanced robotics, streamlining the development process.
  • 質問: Is the Coral M.2 Accelerator easy to install?

    回答: Yes, the Coral M.2 Accelerator is designed for easy installation within M.2 2230 slots, which are commonly available on many modern motherboards and compute modules. Users can follow straightforward installation instructions to integrate the accelerator into their systems. For instance, if you're upgrading a media server for AI-enhanced streaming, ensuring the proper installation of the Coral Accelerator will allow quick access to AI data processing capabilities.
  • 質問: What types of projects can I use the Coral M.2 Accelerator for?

    回答: The Coral M.2 Accelerator is versatile and can be used for various projects such as building smart cameras, developing gesture recognition systems, or creating real-time environmental monitoring solutions. It excels in applications that require immediate data processing and machine learning inference, such as robotics and automated inspections. For example, it can be integrated into a smart camera system for monitoring and analyzing people movement patterns in retail shops.
  • 質問: Can the Coral M.2 Accelerator work with Raspberry Pi?

    回答: Yes, the Coral M.2 Accelerator is compatible with specific Raspberry Pi models through an M.2 adapter. This enables Raspberry Pi users to leverage enhanced AI processing capabilities in their projects. By adding the accelerator, developers can upgrade their Raspberry Pi projects, making them capable of running complex AI models. An example would be using it for a home automation system that controls lighting based on user patterns and preferences.
  • 質問: What power supply requirements are needed for the Coral M.2 Accelerator?

    回答: The Coral M.2 Accelerator requires an external power supply that meets its voltage and current specifications, which typically involve 5V at a low current draw. Users must ensure their parent device can handle this requirement, which is common in many computing applications. For example, if integrated into a portable device, ensuring a reliable power source will allow for sustained performance during critical tasks such as mobile AI-driven analytics.
  • 質問: How can I update the firmware of the Coral M.2 Accelerator?

    回答: To update the firmware of the Coral M.2 Accelerator, users typically need to connect it to a host device and follow the update process provided in the official documentation. This may involve downloading the latest firmware from the Coral website and using specific tools to apply the update. Keeping firmware updated is crucial to optimize performance and ensure compatibility with the latest AI models, thus enhancing the overall effectiveness of your machine learning applications.
  • 質問: Where can I buy the Coral M.2 Accelerator AE Key?

    回答: You can purchase the Coral M.2 Accelerator AE Key (G650-04527-01) from Ubuy. Ubuy offers reliable shipping and customer service in Japan, making it a convenient choice for acquiring this cutting-edge ML compute accelerator. With Ubuy, you can also explore additional features and products conducive to your AI project needs, ensuring a comprehensive shopping experience.

Google Coral Acceleration Sensors Editorial Review

エディターレビューはまだありません

お客様のレビュー＆評価

5.0
1 カスタマー評価
  • 5 星
    100%
  • 4 星
    0%
  • 3 星
    0%
  • 2 星
    0%
  • 1 星
    0%

この商品のレビュー

お考えをお聞かせください

プラットフォームの信頼性とお客様の安心

trustpilot logo
4.3/5 9200 + reviews
レビューを読む
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
安全な決済 国際配送 簡単返品 正規品保証

価格推移

重要な情報

  • 注意：国際運送の商品に関して、製造会社保障は無効になる可能性、アフターサービスは受けれない可能性、取説や安全情報は発送先の言語になっていない可能性ある。商品とその付属品は配送先の国の規格、仕様、ラベル表示法などに適応していない可能性があります。また、配送先の国の電力企画に適応しいない（アダプタや変換器を必要とする）可能性があります。ご注文の商品は配送先の国に輸入することは合法なのかを確認するのは購入者の責任になります。Ubuyからご購入の際、受け取り者は正式な輸入者となり、配送先の全ての法律やルールに遵守する必要があります。
  • Ubuyはグローバル検索エンジンのためリストにある全ての商品が購入できないことがあります。商品は輸出規制、貿易規制があります。

JPY 15728

今すぐ注文すると 頃に届きます 土曜日, 8月 15

数量：

安全な取引安全な取引

PCI DSS準拠・ISO 27001:2022認証取得。すべてのご注文に暗号化決済と充実したバイヤープロテクションが適用されます。

最高の物流パートナー
  • fedex
  • dhl
最速の国際配送

特徴と利点

  • On-board Edge TPU coprocessor performs high-speed ML inferencing
  • Capable of performing 4 trillion operations (tera-operations) per second (TOPS)
  • Uses 0.5 watts for each TOPS (2 TOPS per watt)
  • Can execute state-of-the-art mobile vision models such as MobileNet v2 at 400 FPS
  • Supports TensorFlow Lite without building models from the ground up
  • Works with Debian Linux and integrates with any Debian-based Linux system with a compatible card module slot

Ubuyの安心保証

100％正規品、PCI DSS準拠の決済セキュリティ、ISO 27001認証のデータ保護、最速の国際配送、無料返品※、安全な梱包をすべてのご注文でお届けします。