Η Google announced its new hardware products, built around its TPU Edge, at the Google Next conference last summer. Yesterday, the Coral Dev board, a Raspberry-Pi-like tile, was officially released, designed to run engineering learning algorithms and a USB accelerator.
Coral Development Board
The "Coral Dev Board" has an 40 pin header that runs Linux on an i.MX8M with an Edge TPU chip to speed it up TensorFlow Lite. The board also has 8GB eMMC storage, 1GB LPDDR4 RAM, Wi-Fi and Bluetooth 4.1. It has USB 2.0 / 3.0 ports, 3.5mm audio connector, DSI interface, MIPI-CSI camera interface, HDMI 2.0a connector, and two PDM digital microphones.
The Coral Dev Board, can be used as a computer when you need accelerated ML processing in small size. It can also be used as an assessment kit for SOM and for the creation of original IoT devices and other similar systems. This tile is available for $ 149.00. Google also announced a 25 MIPI-CSI 5 megapixel camera for the Dev platform.
The USB accelerator is basically a plug-in USB 3.0 stick, which adds mechanical learning capabilities to existing Linux machines. This 65 x 30 mm accelerator can be connected to Linux-based systems via a USB Type-C port. It can also work with a Raspberry Pi at USB 2.0 speeds. The accelerator is built around an 32-bit, 32MHz Cortex-M0 + chips with 16KB flash and 2KB RAM.
The USB Accelerator is available for $ 75.
Developers can build Machine Learning models for both devices in TensorFlow Lite. More information is available at the Coral Beta website of Google. Also, PCI-E accelerator will soon be released to integrate the Edge TPU into older systems using a PCI-E interface. It also comes with a full System-on-Module with CPU, GPU, TPU, Wifi, Bluetooth and Secure Element in a 40mm x 40mm module.
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