The **M2AVS-A336-R2/N** is a high-performance industrial-grade CPU module (System on Module) developed by **IEI Integration Corp**. It is designed for AI-at-the-edge applications, machine vision, and industrial automation. --- ### 1. Core Architecture At its heart, this module utilizes the **Allwinner A336** (also known as the A311D in some industrial contexts) or similar high-tier ARM-based silicon, optimized for AI tasks. | Component | Specification | | :--- | :--- | | **CPU** | Quad-core ARM Cortex-A73 and Dual-core Cortex-A53 | | **GPU** | ARM Mali-G52 MP4 (4-core) | | **NPU** | Integrated Neural Processing Unit (5.0 TOPS performance) | | **Memory** | Typically 4GB LPDDR4X | | **Storage** | 16GB / 32GB eMMC 5.1 Flash | --- ### 2. Key Electronic Interfaces The module interfaces via a standard M.2 connector (usually B-Key or M-Key variant depending on the carrier board), but it carries specialized signals for industrial peripherals: * **Display Interfaces:** Supports HDMI 2.1 (4K @ 60fps) and MIPI DSI for integrated panels. * **Camera Inputs:** Dual MIPI CSI interfaces for high-speed image processing. * **Connectivity:** * Gigabit Ethernet (RGMII interface). * USB 3.0 and USB 2.0 Host/OTG. * UART, I2C, SPI, and GPIO for low-level sensor integration. --- ### 3. Power and Thermal Management Because this is an industrial component, the electronic design emphasizes stability under stress: * **Voltage Input:** Usually requires a stable 3.3V or 5V DC input via the M.2 pinout. * **Power Consumption:** Optimized for high "Performance per Watt," critical for fanless enclosures. * **Operating Temperature:** Designed to operate between **-20°C to +70°C**, making it suitable for outdoor or factory floor environments. --- ### 4. Technical Summary for Engineering The "R2/N" suffix typically denotes a specific hardware revision (Revision 2) and a "Neutral" or standard software loadout (no specific pre-installed customer branding). ```json { "Part_Number": "M2AVS-A336-R2/N", "Form_Factor": "M.2 2280 (typically)", "Primary_Application": "Edge AI Inference", "OS_Support": "Linux (Ubuntu/Debian), Android" } ``` ---