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Google Coral USB Edge TPU ML Accelerator coprocessor for Raspberry Pi and Other Embedded Single Board Computers $74.99
$74.99
$96.99
Lowest this has been in a while (was $150 last year), this is similar to the Nvidia Jetson Nano or Intel Neural Compute Stick. Used for machine learning / security camera detection / AI.
https://www.amazon.com/dp/B07R53D12W/
Description from Amazon:
A USB accessory that brings machine learning inferencing to existing systems. Works with Raspberry Pi and other Linux systems
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: Connects to any debian-based Linux system with an included USB 3.0 Type-C cable
Supports tensorflow Lite: No need to build models from the ground up. Tensorflow Lite models can be compiled to run on the edge TPE
Supports automl vision edge: Easily build and deploy fast, high-accuracy custom image classification models to your device with automl vision edge
Ml Accelerator: Google edge TPU Coprocessor
Connector: USB 3.0 Type-C (data/power)
Dimensions: 65 millimeter x 30 millimeter
https://www.amazon.com/dp/B07R53D12W/
Description from Amazon:
A USB accessory that brings machine learning inferencing to existing systems. Works with Raspberry Pi and other Linux systems
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: Connects to any debian-based Linux system with an included USB 3.0 Type-C cable
Supports tensorflow Lite: No need to build models from the ground up. Tensorflow Lite models can be compiled to run on the edge TPE
Supports automl vision edge: Easily build and deploy fast, high-accuracy custom image classification models to your device with automl vision edge
Ml Accelerator: Google edge TPU Coprocessor
Connector: USB 3.0 Type-C (data/power)
Dimensions: 65 millimeter x 30 millimeter
Created 04-17-2024
at 07:54 AM
by gigabitvps
in
Computer Accessories
(6)
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| Rating: | (4.3 out of 5 stars) |
| Reviews: | 166 Amazon Reviews |
| Product Name: | Google Coral USB Edge TPU ML Accelerator coprocessor for Raspberry Pi and Other Embedded Single Board Computers |
| Manufacturer: | Google Coral |
| Model Number: | Coral-USB-Accelerator |
| Product SKU: | B07R53D12W |
| UPC: | 608614201389 |
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aren't these $59 msrp?
aren't these $59 msrp?
Also, is there any difference between that one and this one? https://www.amazon.com/dp/B0CDGT75SH/ (ships from amazon)
do you have more details on how to use them other than what everyone else is doing?
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I tried this and all the resellers seem to be in EU. None in US. Is that correct?