Google Edge TPU Device

https://aiyprojects.withgoogle.com/edge-tpu/

EDGE TPU MODULE (SOM) SPECIFICATIONS
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 40 mm x 48 mm

TensorFlow Lite

The Edge TPU is a small ASIC designed by Google that provides high performance ML inferencing for low-power devices. For example, it can concurrently execute multiple state-of-the-art vision models on high-res video at 30+ fps, in a power efficient manner.
With one of the following Edge TPU devices, you can build embedded systems with on-device AI features that are fast, secure, and power efficient.