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Coral M.2 Accelerator A+E Key,G650-04527-01 SOM- Edge TPU ML Compute Accelerator, M.2-2230-A-E-S3
ZAR 1980
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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.
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What Stands Out
Product Details
- High-Performance ML Accelerator: Integrates Edge TPU, delivering 4 TOPS (int8) peak performance for machine learning inference tasks.
- Strong Compatibility: Supports M.2 A+E key interface for easy integration into existing systems.
- Low Power Design: Provides 2 TOPS per watt, ideal for embedded and energy-efficient applications.
- Wide OS Support: Compatible with Linux (Debian 10/Ubuntu 16.04+) and Windows 10 (64-bit).
- Industrial-Grade Reliability: Operating temperature range of -20°C to +85°C, suitable for harsh environments.
| Connectivity Technology | PCIe |
| Operating System | Debian Linux |
| Wireless Compability | Bluetooth |
| Compatible Devices | Laptops and desktops with M.2 (A+E key) slot |
| Processor Count | 1 |
| Brand | Google Coral |
| Model Name | G650-04527-01 (Coral M.2 Accelerator A+E Key) |
| UPC | 608614202768 |
| Model Number | G650-04527-01 |
| Mfr Part Number | G650-04527-01 |
| Manufacturer | Coral |
| Wireless Communication Standard | Bluetooth |
| Package Weight | 1.18 Pound |
Who Should Buy?
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Machine Learning Developers
Ideal for developers seeking to integrate machine learning capabilities into their applications using Edge TPU.
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Embedded System Engineers
Perfect for engineers working on legacy systems wanting to enhance performance with advanced TPU capabilities.
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IoT Device Manufacturers
Beneficial for those creating IoT devices that require efficient ML processing at the edge for real-time data analysis.
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Casual Users
Not suitable for non-technical users without knowledge of hardware integration and machine learning concepts.
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Basic Computing Needs
Inadequate for users needing only simple computing tasks without the need for machine learning acceleration.
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Budget-Conscious Consumers
May not be appropriate for those looking for low-cost solutions, as specialized hardware often comes at a premium.
Product Description
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GoogleCoral Acceleration Sensors G650-04527-01 Editorial Review
The Google Coral System-On-Modules (SOM) Edge TPU ML Compute Accelerator is a powerful tool for integrating Edge TPU into both legacy and new systems. With its M.2 A/E Key, it offers compatibility with a wide range of systems, including those with Linux and Windows operating systems. One of the standout features of this product is its compatibility with multiple systems. It can be operated on a 64-bit version of Debian 10 or Ubuntu 16.04 (or newer) for Linux systems, as well as on a 64-bit version of Windows 10 for Windows systems. This ensures flexibility and ease of use for users with different operating system preferences. Customers have found it easy to connect the Coral accelerator to their systems. However, it's important to note that the M.2 slot on this board is different from the standard NVME M.2 slot found on most motherboards. If the M.2 A/E Key slot is not available on your motherboard, an adapter such as a PCIe or M-Key adapter may be required. Some customers have raised concerns about compatibility with their specific setups. For example, if your Debian system only has a USB 3.0 and a PCIe 3.0 x4, it is recommended to get the USB Coral accelerator and connect it directly to a USB 3.0 port. This ensures seamless integration with your system. Overall, the Google Coral System-On-Modules (SOM) Edge TPU ML Compute Accelerator offers a powerful and flexible solution for integrating Edge TPU into different systems. With its compatibility with both Linux and Windows systems, users have the freedom to use it on their preferred operating system.
Customer Reviews & Ratings
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5 Star
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4 Star
15%
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3 Star
17%
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7%
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Pros
- Compatible with both Linux and Windows systems
- Flexible integration options with M.2 A/E Key slot or USB 3.0 port
- Powerful performance for ML compute acceleration
Cons
- May require an adapter for compatibility with certain motherboard setups
Top selling Edge TPU Accelerator in Kuwait
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ZAR 1980
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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.
Features & Benefits
- 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













