Google Launches Development Board Coral to Build on-device ML products
At Last year’s Google Next conference, in a keynote Google announced that it will launch a development board built around Edge TPU to run machine learning inference at the edge. Almost a year on, the hardware silently launched “into Beta” under the name “Coral” earlier today, and the development board is now available for purchase. The new hardware will officially be announced during the TensorFlow Dev Summit later this week.
Apart from the development board there is Coral USB accelerator is also launched . USB Accelerator is a plug-in USB stick that brings powerful ML inferencing capabilities to existing Linux systems. With the Edge TPU connected over USB 3.0 interface, it allows for quick prototyping of local AI applications.
The Coral development board will help makers to quickly prototype on-device ML products. Scale from prototype to production with a removable system-on-module (SOM) – says Google.
No need to build models from the ground up. TensorFlow Lite models can be compiled to run on the Coral Dev 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.
|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 2×2 MIMO (802.11b/g/n/ac 2.4/5GHz) Bluetooth 4.1|
|Dimensions||48mm x 40mm x 5mm|
|Flash memory||MicroSD slot|
|USB||Type-C OTG Type-C power Type-A 3.0 host Micro-B serial console|
|LAN||Gigabit Ethernet port|
|Audio||3.5mm audio jack (CTIA compliant) Digital PDM microphone (x2) 2.54mm 4-pin terminal for stereo speakers|
|Video||HDMI 2.0a (full size) 39-pin FFC connector for MIPI-DSI display (4-lane) 24-pin FFC connector for MIPI-CSI2 camera (4-lane)|
|GPIO||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|
Both the development board and the USB accelerator sit on top of Google’s software stack for the Edge TPU. Models need to be developed in TensorFlow Lite rather than TensorFlow, and then compiled to run on the Edge TPU using a web compiler. Some pre-compiled models are also available.
Stay Tuned for more updates.