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Product description: Google Coral Dev Board - i.MX 8M ARM Cortex A53/M4F WiFi/Bluetooth + 1 GB RAM + 8 GB eMMC
A board created byGoogle Coral, which helps to create intelligent AI projects. The board is equipped withSOMchip,which includes eMMC memory, chip based onNXP i.MX 8M, wireless communication and Google Edge TPU. The board has1 GB ofRAMand8 GB of eMMC memory, USB type A and type C connectors,40 GPIO, Ethernet, HDMI port and much more.
Google Coral Dev Board - top view.
Dev Board can be used as a single disc computer to accelerate ML processing or as an evaluation kit for SOM, which is located on the board. SOM dimensions are 48 x 40 mm, it can be transferred to another, custom board.
What do I need to run a Google Coral minicomputer?
- Power supply- the chip is powered by USB type C - 5 V / 3 A
- Linux or Mac computer - as a host computer
- USB cable A - microUSB B- for connection to a computer via serial port
- Cable USB A - USB C- for connection to a computer via data port
- Connected internet - for software download
Advantages of Edge TPU
The Edge TPU motherboard includes all the peripherals needed for prototyping, such as USB2.0 / 3.0, DSI display connector, CSI2 camera connector, Ethernet port, speaker connector and 40-pin GPIO.
- Fast TensorFlow Lite interface
- Low energy consumption
- Small dimensions
Main features of Google Coral Dev Board
- SOM system:
- NXP iMX 8M (Quad-Core ARM Cortex A53 + ARM Cortex M4F)
- Google Edge TPU accelerator coprocessor
- cryptographic processor
- WiFi 2x2 MIMO (802.11 b/g/n/ac 2.4 GHz / 5 GHz)
- Bluetooth 4.1
- 8 GB eMMC memory
- 1 GB LPDDR4 RAM
- USB connectors:
- USB type C to supply 5 V / 3 A
- USB 3.0 type C as OTG port
- USB 3.0 type A as host port
- microUSB as serial port
- Audio connectors:
- 3.5 mm mini jack (CTIA compliant)
- Digital microphone port PDM (x2)
- 4-pin 2.54 mm terminal for stereo speakers
- Video connectors:
- HDMI 2.0a connector
- 39-pin FFC connector for MIPI-DSI display (4 lines)
- 4-pin FFC connector for MIPI-CSI camera (4 lines)
- MicroSD card slot
- Gigabit Port Etherent
- 40-pin GPIO
- Supports Linux Debian
- Models created using TensorFlow
- Full support for MobileNet and Inception, as well as custom architectures
- Compatible with Google Cloud
- Supports TFLite
- Possibility to transfer the SOM to a custom plate
- Includes a full system: SOC + ML + motherboard communication systems work under any version of Linux, which allows you to run any Linux tool with this board
The distribution of elements on the board.
Google Coral Dev Board specification
TPU Edge module | |
---|---|
CPU | NXP i.MX 8M SOC (Quad-Core ARM Cortex A53 + ARM Cortex M4F) |
GPU | Integrated GC7000 Lite |
ML accelerator | Google Edge TPU coprocessor |
Memory RAM | 1 GB LPDDR4 |
Flash Memory | 8 GB eMMC |
Wireless communication |
|
Dimensions | 48 x 40 x 5 mm |
Motherboard | |
Flash Memory | MicroSD slot |
USB |
|
LAN | Gigabit Ethernet port |
Audio |
|
Video |
|
GPIO |
|
Power supply |
|
Dimensions | 88 x 60 x 24 mm |
Useful links |