The Dev Board is a single-board computer with a removable system-on-module (SOM) that contains eMMC, SOC, wireless radios, and Google’s Edge TPU. It’s perfect for IoT devices and other embedded systems that demand fast on-device ML inferencing.
You can use the Dev Board as a single-board computer for accelerated ML processing in a small form factor, or as an evaluation kit for the SOM that’s on-board. The 40 mm × 48 mm SOM on the Dev Board is available at volume. It can be combined with your custom PCB hardware using board-to-board connectors for integration into products.
The SOM is based on NXP's iMX8M system-on-chip (SOC), but its unique power comes from the Edge TPU coprocessor. The Edge TPU is a small ASIC designed by Google that provides high performance ML inferencing with a low power cost. For example, it can execute state-of-the-art mobile vision models such as MobileNet v2 at 100+ fps, in a power efficient manner.
Edge TPU key benefits
- High-speed TensorFlow Lite inferencing
- Low Power
- Small footprint
The baseboard includes all the peripheral connections you need to prototype a project, including USB 2.0/3.0 ports, DSI display interface, CSI2 camera interface, Ethernet port, speaker terminals, and a 40-pin GPIO header.
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《Features》規格
SOM
- NXP i.MX 8M SOC (Quad-core Cortex-A53, plus Cortex-M4F)
- Google Edge TPU ML accelerator coprocessor
- Cryptographic coprocessor
- Wi-Fi 2x2 MIMO (802.11b/g/n/ac 2.4/5GHz)
- Bluetooth 4.1
- 8GB eMMC
- 1GB LPDDR4
USB Connections
- USB Type-C power port (5V DC)
- USB 3.0 Type-C OTG port
- USB 3.0 Type-A host port
- USB 2.0 Micro-B serial console port
Audio connections
- 3.5mm audio jack (CTIA compliant)
- Digital PDM microphone (x2)
- 2.54mm 4-pin terminal for stereo speakers
Video connections
- HDMI 2.0a (full size)
- 39-pin FFC connector for MIPI-DSI display (4-lane)
- 4-pin FFC connector for MIPI-CSI2 camera (4-lane)
MicroSD card slots
Gigabit Ethernet ports
40-pin GPIO expansion headers
Supports Debian Linuxs
Models are built using TensorFlow
Fully supports MobileNet and Inception architectures though custom architectures are possible
Compatible with Google Cloud
Supports TFLite
No need to build models from the ground up. TensorFlow Lite models can be compiled to run on theDev Board.
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.
Includes a full system
SOC + ML + Connectivity all on the board running a variant of Linux, so you can run your favourite Linux tools with this board.
