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Total EUR 72.43

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  • seeed studio Coral M.2 Accelerator A+E Key

seeed studio Coral M.2 Accelerator A+E Key

4.6 out of 5 stars (26)
EUR 64.64
No Import Charges & EUR 7.79 Shipping to Netherlands Details

Shipping & Fee Details

Price EUR 64.64
AmazonGlobal Shipping EUR 7.79
Estimated Import Charges EUR 0.00
Total EUR 72.43

Brief content visible, double tap to read full content.
Full content visible, double tap to read brief content.
Size: A+E key
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About this item

  • Performs high-speed ML inferencing: The on-board Edge TPU coprocessor is capable of performing 4 trillion operations (tera-operations) per second (TOPS), using 0.5 watts for each TOPS (2 TOPS per watt). For example, it can execute state-of-the-art mobile vision models such as MobileNet v2 at 400 FPS, in a power efficient manner.
  • Works with Debian Linux: Integrates with any Debian-based Linux system with a compatible card module slot.
  • Supports TensorFlow Lite: No need to build models from the ground up. TensorFlow Lite models can be compiled to run on the Edge TPU.
  • Supports AutoML Vision Edge: Easily build and deploy fast, high-accuracy custom image classification models to your device with AutoML Vision Edge.
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This item: seeed studio Coral M.2 Accelerator A+E Key
EUR64.64
Get it as soon as Wednesday, May 13
In Stock
Sold by Seeed Studio Official and ships from Amazon Fulfillment.
+
GLOTRENDS WA01 M.2 E Key to PCIe X1 WiFi Bluetooth Adapter for M.2 WiFi 4/5/6/6e/7/Coral TPU Module, with 6-dBi SMA Antenna K
EUR8.50
Get it as soon as Wednesday, May 13
In Stock
Sold by GLOTRENDS US Official Store and ships from Amazon Fulfillment.
Total price: $00
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Warranty & Support

Amazon.com Return Policy:You may return any new computer purchased from Amazon.com that is "dead on arrival," arrives in damaged condition, or is still in unopened boxes, for a full refund within 30 days of purchase. Amazon.com reserves the right to test "dead on arrival" returns and impose a customer fee equal to 15 percent of the product sales price if the customer misrepresents the condition of the product. Any returned computer that is damaged through customer misuse, is missing parts, or is in unsellable condition due to customer tampering will result in the customer being charged a higher restocking fee based on the condition of the product. Amazon.com will not accept returns of any desktop or notebook computer more than 30 days after you receive the shipment. New, used, and refurbished products purchased from Marketplace vendors are subject to the returns policy of the individual vendor.
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Product Description

The Coral M.2 Accelerator is an M.2 module that brings the Edge TPU coprocessor to existing systems and products. The Edge TPU is a small ASIC designed by Google that provides high performance ML inferencing with low power requirements: it's capable of performing 4 trillion operations (tera-operations) per second (TOPS), using 0.5 watts for each TOPS (2 TOPS per watt). For example, it can execute state-of-the-art mobile vision models such as MobileNet v2 at almost 400 FPS, in a power efficient manner. This on-device processing reduces latency, increases data privacy, and removes the need for constant high-bandwidth connectivity. The M.2 Accelerator is a dual-key M.2 card (either A+E or B+M keys), designed to fit any compatible M.2 slot. This form-factor enables easy integration into ARM and x86 platforms so you can add local ML acceleration to products such as embedded platforms, mini-PCs, and industrial gateways.

What's in the box

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    Customer reviews

    4.6 out of 5 stars
    26 global ratings

    Top reviews from the United States

    • Alberto C.
      5 out of 5 stars
      Works as described
      Reviewed in the United States on March 24, 2026
      Size: A+E key
      Brief content visible, double tap to read full content.
      Full content visible, double tap to read brief content.

      All good so far

      Sending feedback...
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    • Turk182
      5 out of 5 stars
      Works great, at least with Frigate
      Reviewed in the United States on December 23, 2024
      Size: A+E key
      Brief content visible, double tap to read full content.
      Full content visible, double tap to read brief content.

      Have this in a NUC size server and it works great with frigate running in a container. Works great to identify humans and most parts of humans (head, hand, etc.). Tested it in my office and had the camera looking out the door, 97% accuracy recognizing one of my dogs when they'd look in the door or walk past. Frigate would occasionally think they were a cat if they walked past the door quick enough that the low frame rate missed their head and only got a body and tail.

      Granted Frigate can do the image recognition without an Edge, but the Edge significantly increases the speed and reduces the processing power required so I can handle many more cameras.

      4 people found this helpful
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    • Barward
      5 out of 5 stars
      AI detections in Blue Iris.
      Reviewed in the United States on June 7, 2025
      Size: A+E key
      Brief content visible, double tap to read full content.
      Full content visible, double tap to read brief content.

      Works good for adding Cotal for Blue Iris. It definitely saves on CPU power.

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    • Tim VanDyke
      5 out of 5 stars
      Working great in my Beelink EQ12
      Reviewed in the United States on January 7, 2025
      Size: A+E key
      Brief content visible, double tap to read full content.
      Full content visible, double tap to read brief content.

      Works great in my Beelink EQ12. (DOES NOT WORK WITH S12 pro)

      You should do your research on your specific device to make sure the WiFi slot will take this thing. YMMV.

      Frigate is seeing and utilized it with no friction at all

      2 people found this helpful
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    • Jeff
      5 out of 5 stars
      Works
      Reviewed in the United States on May 6, 2025
      Size: A+E key
      Brief content visible, double tap to read full content.
      Full content visible, double tap to read brief content.

      Works perfectly. Excellent value. Use it to acelerate AI detecton in video. Delivered on time.

      Sending feedback...
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    • DeusExKing
      5 out of 5 stars
      Works great.
      Reviewed in the United States on January 5, 2025
      Size: A+E key
      Brief content visible, double tap to read full content.
      Full content visible, double tap to read brief content.

      I installed it in place of the WIFI/Bluetooth module in a GMKTec Mini PC and install Frigate for my Home assistant cameras. It is working well detecting cars and animals on two cameras pointed at my driveway and garden.

      Sending feedback...
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    • Tim C
      5 out of 5 stars
      Reduces CPU load substantially
      Reviewed in the United States on November 16, 2024
      Size: A+E key
      Brief content visible, double tap to read full content.
      Full content visible, double tap to read brief content.

      Using this on a Ryzen laptop with Frigate on Ubuntu 24.04. Instead of a detection event pegging a core for 25-30 seconds, it only uses up about 10% of a core for 5-6 seconds. Can't wait to see how it scales to more cameras. Just quadruple-check your keying before buying--the A+E key is narrower than older laptops that use PCI-e. (The edge connector is 2 cm wide on the A+E key vs. 2.5 cm for the old PCI-e.)

      6 people found this helpful
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    • MetaPrime
      4 out of 5 stars
      Does what's it's supposed to do
      Reviewed in the United States on January 5, 2025
      Size: A+E key
      Brief content visible, double tap to read full content.
      Full content visible, double tap to read brief content.

      Does what's it supposed to do. I use it to process object detection on a blue iris NVR. I'm not sure if it's my system or the coral TPU itself, but it sometimes seems to crash for a quick second and start using the CPU. However it would automatically switch back to using the coral TPU on its own. Overall I'm happy with it.

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