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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
Coral M.2 Accelerator A+E Key,G650-04527-01 SOM- Edge TPU ML Compute Accelerator, M.2-2230-A-E-S3
Coral M.2 Accelerator A+E Key,G650-04527-01 SOM- Edge TPU ML Compute Accelerator, M.2-2230-A-E-S3
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
Item #: 19795334

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

Item #: 19795334

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

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.

Product Details

GoogleCoral Shop for Google Coral System-On-Modules at Ubuy South Africa. 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.
  • 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 TechnologyPCIe
Operating SystemDebian Linux
Wireless CompabilityBluetooth
Compatible DevicesLaptops and desktops with M.2 (A+E key) slot
Processor Count1
BrandGoogle Coral
Model NameG650-04527-01 (Coral M.2 Accelerator A+E Key)
UPC608614202768
Model NumberG650-04527-01
Mfr Part NumberG650-04527-01
ManufacturerCoral
Wireless Communication StandardBluetooth
Package Weight1.18 Pound

Who Should Buy?

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.

  • Basic Computing Needs

    Inadequate for users needing only simple computing tasks without the need for machine learning acceleration.

  • 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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Customer Questions & Answers

  • Question: How to Shop Coral M.2 Accelerator A+E Key,G650-04527-01 SOM- Online From Ubuy?

    Answer: It’s easy to shop Coral M.2 Accelerator A+E Key,G650-04527-01 SOM- online from Ubuy. You just have to search for the product, choose your shipping method while checking out and get it delivered to your location.
  • Question: Is Coral M.2 Accelerator A+E Key,G650-04527-01 SOM- Available to Shop Online in South Africa?

    Answer: Yes, at Ubuy South Africa this product is available for you to shop at a reasonable price. The Coral M.2 Accelerator A+E Key,G650-04527-01 SOM- is not available locally but you can trust us with our express shipping services.
  • Question: How Long Does It Take to Get Product After Placing the Order?

    Answer: The delivery time of your ordered product varies as per what you've ordered and the shipping method that you've chosen. The estimated delivery time is mentioned during the checkout process, so be carefree while shopping.

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

4.2
28 customers ratings
  • 5 Star
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  • 4 Star
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  • 3 Star
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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

Product Price History

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