Coral System-on-Module (SoM) - 1GB RAM Version
The Coral System-on-Module (SoM) is a fully-integrated system that helps you build embedded systems that demand fast machine learning (ML) inferencing.
- Provides a complete system: The Coral SoM is a fully-integrated Linux system that includes NXP's iMX8M system-on-chip (SoC), eMMC memory, LPDDR4 RAM, Wi-Fi, and Bluetooth, and the Edge TPU coprocessor for ML acceleration. It runs a derivative of Debian Linux we call Mendel.
- Performs high-speed ML inferencing: The on-board Edge TPU coprocessor is capable of performing 4 trillion operations (tera-operations) per second (TOPS), using 0.5 watts for each TOPS (2 TOPS per watt). For example, it can execute state-of-the-art mobile vision models such as MobileNet v2 at 400 FPS, in a power efficient manner.
- Integrates with your custom hardware: The SoM connects to your own baseboard hardware with three 100-pin connectors.
- Supports TensorFlow Lite: No need to build models from the ground up. TensorFlow Lite models can be compiled to run on the Edge TPU.
- Supports AutoML Vision Edge: Easily build and deploy fast, high-accuracy custom image classification models to your device with AutoML Vision Edge. Also available with a baseboard as part of the Coral Dev Board.
The Coral System-on-Module (SoM) is a fully-integrated system that helps you build embedded systems that demand fast machine learning (ML) inferencing. It contains 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 almost 400 FPS, in a power-efficient manner. This on-device processing reduces latency, increases data privacy, and removes the need for a high-bandwidth connection used to perform ML inferencing in the cloud.
Key benefits of the SoM:
- High-speed and low-power ML inferencing (4 TOPS @2 W)
- A complete Linux system (running Mendel, a Debian derivative)
- Small footprint (40 x 48 mm)
The SoM is also included in the Coral Dev Board, which is a single-board computer that enables fast prototyping and evaluation of the standalone SoM.
- NXP i.MX 8M SoC
- Quad-core ARM Cortex-A53, plus Cortex-M4F
- 2D/3D Vivante GC7000 Lite GPU and VPU
- Google Edge TPU ML accelerator
- Cryptographic coprocessor
- Wi-Fi 2x2 MIMO (802.11b/g/n/ac 2.4/5 GHz)
- Bluetooth 4.2
- 8GB eMMC
- 1GB LPDDR4
- USB 3.0
- Gigabit Ethernet
- HDMI and MIPI-DSI
- Up to 95x GPIO (including SPI, I2C, PWM, UART, SAI, and SDIO)
|Main system-on-chip (i.MX8M)|
|Arm Cortex-A53 MPCore platform||Quad symmetric Cortex-A53 processors:
|Arm Cortex-M4 core platform||
|Graphic Processing Unit (GPU)||
|Video Processing Unit (VPU)||
|Display||HDMI Display Interface:
|Edge TPU coprocessor||
|Memory and storage|
|Random access memory (SDRAM)||
|Flash memory (eMMC)||
|Expandable flash (MicroSD)||
|Network & wireless|
|Wi-Fi||Murata LBEE5U91CQ module:
|Bluetooth||Murata LBEE5U91CQ module:
|Cryptographic coprocessor||Microchip ATECC608A cryptographic coprocessor:
|Baseboard connectors||3x 100-pin connectors (Hirose DF40C-100DP-0.4V)|
|Antenna connectors||2x coaxial cable connectors (Murata MM8930-2600)|
Block diagram of the SoM components
Block diagram of the i.MX8M SoC components, provided by NXP
1x Coral System-on-Module(SOM)