The Google Coral development board is a single-board computer that's ideal for fast machine learning (ML) inferencing in a small form factor. It provides a fully-integrated system, including NXP's iMX 8M system-on-chip (SoC), eMMC memory, LPDDR4 RAM, Wi-Fi, and Bluetooth. It has unique power from the Google edge TPU coprocessor. <h1>Features & Benefits</h1> <B>Edge TPU Module (SOM)</B><BR/><BR/>NXP i.MX 8M SOC (Quad-core Cortex-A53, plus Cortex-M4F)<BR/>Google Edge TPU ML accelerator coprocessor<BR/>Cryptographic coprocessor<BR/>Wi-Fi 2x2 MIMO (802.11b/g/n/ac 2.4/5GHz)<BR/>Bluetooth 4.1<BR/>8GB eMMC<BR/>1GB LPDDR4<BR/><BR/><B>USB connections</B><BR/><BR/>USB Type-C power port (5V DC), USB 3.0 Type-C OTG port, USB 3.0, Type-A host port, USB 2.0 Micro-B serial console port<BR/><BR/><B>Audio connections</B><BR/><BR/>3.5mm audio jack (CTIA compliant), Digital PDM microphone (x2), 2.54mm 4-pin terminal for stereo speakers<BR/><BR/><B>Video connections</B><BR/><BR/>HDMI 2.0a (full size), 39-pin FFC connector for MIPI DSI display (4-lane), 24-pin FFC connector for MIPI CSI-2 camera (4-lane)<BR/><BR/><B>MicroSD card slot</B><BR/><B>Gigabit Ethernet port</B><BR/><B>40-pin GPIO expansion header</B><BR/><B>Supports Mendel Linux (derivative of Debian)</B>

The Google coral mini PCIe accelerator is a PCIe module that bring the edge TPU coprocessor to existing systems and product. It provide high performance ML inferencing with low power requirements. it's capable of performing 4 trillion operations per second. It used standard half-mini PCIe card<BR/>It support debian Linux and other variants on host CPU

The Google e coral system-on-module (SoM) is a fully-integrated system that helps to build embedded system which demand fast machine learning (ML) inferencing. It contains NXP's iMX 8M system-on-chip (SoC), eMMC memory, LPDDR4 RAM, Wi-Fi, and Bluetooth but it has unique power comes from Google edge TPU coprocessor. It used HDMI and MIPI-DS<BR/>It used cryptographic coprocessor<BR/>It has gigabit Ethernet

Benefits of the Coral Dev Board Micro The Coral Dev Board Micro is a microcontroller board that benefits from a built-in camera,microphone, and Coral Edge TPU, allowing you to quickly prototype and deploy low-power embedded systems with on-device ML inferencing. By combining the Cortex M4 and M7 processors with the Coral Edge TPU on this board, you can design systems that cascade from extreme low-power ML inferencing to more complex—yet still power-efficient—ML inferencing. You can also expand the hardware with custom add-on boards using the high-density board-to-board connectors. The Edge TPU is a small ASIC designed by Google that accelerates tensor flow lite models in a power efficient manner. One Edge TPU is capable of performing 4 trillion operations per second. This on-device ML processing reduces latency, increases data privacy, and removes the need for a constant internet connection. Technical Specifications MCU: NXP i.MX RT1176 (Cortex-M7 and Cortex-M4) ML Accelerator: Coral Edge TPU coprocessor:<BR/>4 TOPS (int8) RAM: 64 MB Flash Memory: 1 Gibit Sensors: Himax HM01B0 CMOS sensor<BR/><BR/>PDM mono microphone Input/output: (2x) 12-pin GPIO header;<BR/>(2x) 100-pin board-to-board connectors;<BR/>USB Type-C (USB 2.0) User interface: (4x) LEDs;<BR/>(2x) switch buttons

The Coral PoE Add-on Board is accessory board that adds ethernet power and connectivity to the Dev Board Micro. It simply snaps onto the Dev Board Micro with a high-density connector. Techical Specifications Ethernet Speed: 10 and 100 Mbps Max Power: 7 W continuous max power over Ethernet (shared with main board and any peripherals) Dimensions: 65.0 x 30.0 x 23.9 mm Requires the Coral Dev Board Micro for operation (sold separately).