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Google Edge TPU Devices

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Google Edge TPU Devices
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Edge TPU Dev Board

A single-board computer with a removable Edge TPU system-on-module (SOM).

This all-in-one development board allows you to prototype embedded systems that demand fast ML inferencing. The baseboard provides all the peripheral connections you need, and the SOM board is removable so you can integrate the Edge TPU module into your own hardware.

Coming soon. Get notified .

Edge TPU module (SOM) specifications

CPUNXP i.MX 8M SOC (quad Cortex-A53, Cortex-M4F)
GPUIntegrated GC7000 Lite Graphics
ML acceleratorGoogle Edge TPU coprocessor
RAM1 GB LPDDR4
Flash memory8 GB eMMC
WirelessWi-Fi 2x2 MIMO (802.11b/g/n/ac 2.4/5GHz)
Bluetooth 4.1
Dimensions40 mm x 48 mm

Baseboard specifications

Flash memoryMicroSD slot
USBType-C OTG
Type-C power
Type-A 3.0 host
Micro-B serial console
LANGigabit Ethernet port
Audio3.5mm audio jack (CTIA compliant)
Digital PDM microphone (x2)
2.54mm 4-pin terminal for stereo speakers
VideoHDMI 2.0a (full size)
39-pin FFC connector for MIPI-DSI display (4-lane)
24-pin FFC connector for MIPI-CSI2 camera (4-lane)
GPIO40-pin expansion header
Power5V DC (USB Type-C)
Dimensions85 mm x 56 mm

Supported Operating Systems

Debian Linux

Supported Frameworks

TensorFlow Lite

Edge TPU Accelerator

A USB device that adds an Edge TPU coprocessor to your system.

This small stick includes a USB Type-C socket that you can connect to any Linux-based system to perform accelerated ML inferencing. The casing includes mounting holes for attachment to host boards.

Coming soon. Get notified .

Specifications

ML acceleratorGoogle Edge TPU coprocessor
ConnectorUSB Type-C* (data/power)
Dimensions65 mm x 30 mm

* Compatible with Raspberry Pi boards at USB 2.0 speeds only.

Supported Operating Systems

Debian Linux

Supported Frameworks

TensorFlow Lite

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