Google has promised to release a hardware platform to perform Artificial Intelligence easily and it has delivered. Meet Google Coral, an all in one single board computer which is very similar to a Raspberry Pi but way more computationally mature.
The purpose of this product is to enable embedded AI and Deep learning projects to the masses. With Google's already mature and capable AI Framework Tensorflow running on this hardware platform can support AI and Deep learning at the edge level which can be ideal for many applications such as self driving cars, robots, etc.
|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) 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|
Priced at USD 149, this product is launched prior to Tensorflow Dev summit so that developers can get their hands on this device and come up with creative and productive AI and Deep learning prototypes quickly. Let's keep an eye on this platform to see where it leads us.