Google Coral Dev Board
Google Coral Dev Board
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. Provides a complete system. A single-board computer with SoC + ML + wireless connectivity, all on the board running a derivative of Debian Linux we call Mendel, so you can run your favorite Linux tools with this board. 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. Scale from prototype to production. Considers your manufacturing needs. The SoM can be removed from the baseboard, ordered in bulk, and integrated into your hardware.
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Good reason to buy
A development board to quickly prototype on-device ML products. Scale from prototype to production with a removable system-on-module (SoM).
Specifications
TYPE
Single Board Computer
PRICE
$218.00
SOFTWARE
Linux
ARCHITECTURE
64bit
CLOCK SPEED
15
PROCESSOR
Quad-core Cortex-A53, Cortex-M4F
I/O PINS DIGITAL
11
WIFI / ETHERNET
Gigabit
VIDEO
HDMI, MIPI-DSI
BLUETOOTH
WiFi b/g/n/ac. Bluetooth 4.1
OPERATING VOLTAGE
3.3V
DIMENSIONS
48mm x 40mm x 5mm
MEMORY
1GB RAM. 8GB eMMC