Google Coral Dev Board (1GB RAM or 4GB RAM) The Coral Dev Board is a single-board computer that’s ideal when you need to perform fast machine learning (ML) inferencing in a small form factor. You can use the Dev Board to prototype your embedded system and then scale to production using the on-board Coral System-on-Module (SoM) combined with your custom PCB hardware.
The SoM provides a fully-integrated system, including NXP’s iMX8M system-on-chip (SoC), eMMC memory, LPDDR4 RAM, Wi-Fi, and Bluetooth, but its unique power comes from Google’s Edge TPU coprocessor. The Edge TPU is a small ASIC designed by Google that provides high performance ML inferencing with a low power cost. For example, it can execute state-of-the-art mobile vision models such as MobileNet v2 at 400 FPS, in a power efficient manner.
The baseboard provides all the peripheral connections you need to prototype a project, including USB 2.0/3.0 ports, DSI display interface, CSI-2 camera interface, Ethernet port, speaker terminals, and a 40-pin I/O header.
Key benefits of the Dev Board: – High-speed and low-power ML inferencing (4 TOPS @2W) – A complete Linux system (running Mendel, a Debian derivative) – Prototyping and evaluation board for the small Coral SoM (40 x 48 mm)
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 / 4 GB LPDDR4 Flash memory: 8 GB eMMC Wireless: Wi-Fi 2×2 MIMO (802.11b/g/n/ac 2.4/5GHz) and Bluetooth 4.2 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)
