Custom The Google Dev Board A single-board computer with a removable system-on-module (SoM) featuring the Edge TPU. Manufacturer
Custom The Google Dev Board A single-board computer with a removable system-on-module (SoM) featuring the Edge TPU. Manufacturer
Custom The Google Dev Board A single-board computer with a removable system-on-module (SoM) featuring the Edge TPU. Manufacturer
Custom The Google Dev Board A single-board computer with a removable system-on-module (SoM) featuring the Edge TPU. Manufacturer
  • Load image into Gallery viewer, Custom The Google Dev Board A single-board computer with a removable system-on-module (SoM) featuring the Edge TPU. Manufacturer
  • Load image into Gallery viewer, Custom The Google Dev Board A single-board computer with a removable system-on-module (SoM) featuring the Edge TPU. Manufacturer
  • Load image into Gallery viewer, Custom The Google Dev Board A single-board computer with a removable system-on-module (SoM) featuring the Edge TPU. Manufacturer
  • Load image into Gallery viewer, Custom The Google Dev Board A single-board computer with a removable system-on-module (SoM) featuring the Edge TPU. Manufacturer

Custom The Google Dev Board A single-board computer with a removable system-on-module (SoM) featuring the Edge TPU. Manufacturer

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$247.66
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Dev Board

A development board to quickly prototype on-device ML products. Scale from prototype to production with a removable system-on-module (SoM).

2

 

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 100+ 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.

 

Tech specs


CPU

NXP i.MX 8M SoC (quad Cortex-A53, Cortex-M4F)
GPU Integrated GC7000 Lite Graphics
ML accelerator Google Edge TPU coprocessor
RAM 1 GB LPDDR4
Flash memory 8 GB eMMC
Wireless Wi-Fi 2x2 MIMO (802.11b/g/n/ac 2.4/5GHz) and Bluetooth 4.2
Dimensions

48mm x 40mm x 5mm

Baseboard

Flash memory slot
USB

Type-C OTG; Type-C power;

Type-A 3.0 host; Micro-B serial console

LAN Gigabit Ethernet port
o

3.5mm o jack (CTIA compliant);

Digital PDM microphone (x2);

2.54mm 4-pin terminal for stereo speakers

Video

2.0a (full size);

39-pin FFC connector for MIPI-DSI display (4-lane);

24-pin FFC connector for MIPI-CSI2 camera (4-lane)

3.3V power rail;

40 - 255 ohms programmable impedance;

~82 mA max current

Power 5V DC (USB Type-C)
Dimensions 88 mm x 60 mm x 24mm