The part number **M8YV-64W4W-R** identifies a high-performance **Synchronous Dynamic Random-Access Memory (SDRAM)** module, specifically a **DDR4 SODIMM** (Small Outline Dual In-line Memory Module). These are typically used in laptops, small form factor PCs, and industrial embedded systems. Below is a detailed breakdown of its technical specifications and characteristics. ### 1. Key Technical Specifications | Feature | Specification | | :--- | :--- | | **Memory Type** | DDR4 SDRAM | | **Form Factor** | SODIMM (260-pin) | | **Capacity** | 64GB (Commonly 2 x 32GB Kit or High-Density Single Module) | | **Speed** | 3200 MT/s (PC4-25600) | | **Voltage** | 1.2V (Standard DDR4 Voltage) | | **ECC Support** | Non-ECC (Unbuffered) | | **Rank** | Dual Rank (2Rx8) or Quad Rank depending on density | --- ### 2. Functional Components The module consists of several critical electronic components integrated onto a multilayer PCB: * **DRAM Integrated Circuits (ICs):** The black chips soldered to the PCB. These are the storage cells. In a 64GB configuration, these are usually high-density chips (16Gb or 32Gb dies). * **Serial Presence Detect (SPD) EEPROM:** A small chip that stores the module's timing parameters, manufacturer data, and serial number. The BIOS/UEFI reads this to configure the memory controller automatically. * **Decoupling Capacitors:** Small surface-mount (SMD) components placed near the DRAM ICs to filter electrical noise and stabilize the 1.2V power supply during high-speed switching. * **Termination Resistors:** These manage signal integrity by preventing data reflections on the high-frequency command and address lines. --- ### 3. Pinout and Interface The module uses a **260-pin interface**. Unlike desktop DIMMs, the "notch" (key) is positioned to prevent insertion into DDR3 slots or incompatible motherboard headers. ```text Interface Type: DDR4 SODIMM Pin Count: 260 Pins Data Width: 64-bit Architecture: Double Data Rate (Transfers on rising and falling edges) ``` ### 4. Application Areas * **Workstation Laptops:** Ideal for video editing, 3D rendering, and virtualization. * **Edge Computing:** High-capacity memory for AI inference at the edge. * **Mini-PCs:** Used in Intel NUCs or similar compact desktop replacements. ---