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Coral USB Accelerator G950-01456-01
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$95.00 $99.00
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Performs high-speed ML inferencing The on-board Edge TPU coprocessor is capable of performing 4 trillion operations (tera-operations) per second (TOPS),...

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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. See more performance benchmarks.

Supports all major platforms

Connects via USB to any system running Debian Linux (including Raspberry Pi), macOS, or Windows 10.

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.

Tech Specs


ML accelerator : Google Edge TPU coprocessor
Connector : USB 3.0 Type-C* (data/power)
Dimensions : 65 mm x 30 mm

 

* Compatible with USB 2.0 but inferencing speed is much slower.

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