Lenovo 64GB TruDDR4 DDR4-3200 PC4-25600 3200 MHz Server Memory Module

Overview

The Lenovo 4X77A08635 is a 64 GB TruDDR4 memory module designed specifically for ThinkSystem servers that require high-capacity and reliable memory expansion. Operating at 3200 MHz with a PC4-25600 rating, it delivers fast data throughput essential for demanding workloads such as virtualization, database management, and analytics. This registered DIMM includes error-correcting code (ECC) to detect and fix single-bit errors, ensuring data integrity in critical server environments.

Key features

• TruDDR4 validation guarantees compatibility with Lenovo ThinkSystem servers, preserving warranty and optimizing performance.
• ECC support reduces the risk of data corruption by automatically correcting single-bit memory errors.
• Registered DIMM design with buffering maintains signal integrity in fully populated server memory configurations.
• Operates at a low 1.20 V voltage to minimize power consumption and heat generation in dense rack setups.
• Dual-rank architecture balances memory capacity and performance for efficient server operation.
• Designed to support demanding workloads such as virtualization, in-memory databases, and scientific or financial modeling.

Key specs

• Capacity: 64 GB
• Memory type: TruDDR4 ECC registered DIMM
• Speed: DDR4-3200 (3200 MHz)
• Specification: PC4-25600
• Voltage: 1.20 V
• Rank: Dual-rank
• Pin count: 288-pin
• Compatibility: Lenovo ThinkSystem servers

Connectivity and compatibility

This memory module is designed exclusively for Lenovo ThinkSystem servers, fitting into 288-pin DIMM slots. Its TruDDR4 certification ensures seamless integration with server firmware, enabling automatic recognition and performance tuning without manual configuration. This makes it a reliable choice for IT teams managing Lenovo server environments.

Ideal uses and environments

This 64 GB memory module is well suited to enterprise data centers and cloud providers aiming to maximize server memory capacity for virtualization and large-scale database applications. It supports workloads that benefit from abundant memory, such as in-memory analytics and complex modeling tasks. Its low power consumption and error correction features make it a strong option for dense rack installations where stability and efficiency are critical.