HMAA8GL7AMR4N-VK Hynix 64GB 2666MHZ PC4-21300 Cl19 Ecc Registered Quad Rank X4 DDR4 SDRAM 288-Pin Lrdimm Memory Module

The Hynix HMAA8GL7AMR4N-VK 64GB DDR4 LRDIMM Server RAM

The Hynix HMAA8GL7AMR4N-VK 64GB DDR4 LRDIMM is a highly specialized server memory module engineered for enterprise-grade stability, efficiency, and performance. Designed to meet the rigorous demands of professional data centers, cloud infrastructures, virtualization clusters, and mission-critical servers, this 64GB module uses advanced DDR4 technology combined with Quad Rank x4 architecture to provide exceptional throughput and multi-threading capacity. As part of the PC4-21300 memory class, it delivers speeds of 2666MHz and operates at a low, power-conscious 1.2 volts. This makes it ideal for large-scale deployments where reliability and performance must coexist with optimized power consumption.

Use Cases for the Hynix HMAA8GL7AMR4N-VK 64GB ECC RAM

Server administrators, IT managers, and engineers implementing large-scale server memory configurations rely heavily on ECC Registered memory and LRDIMM technology for expanded capacity and unparalleled error mitigation. The Hynix HMAA8GL7AMR4N-VK is specifically engineered for environments such as enterprise virtualization, SAP HANA environments, high-traffic web servers, distributed computing clusters, and heavy-load database servers. Its advanced structure ensures minimal signal noise and enhanced electrical stability, enabling consistent processing power even under extreme workloads.

Ideal for Data-Intensive Workloads

This memory module excels in situations where servers handle enormous volumes of data. For instance, hyper-converged infrastructure (HCI) systems, large-scale Big Data analytics, machine learning clusters, containerized applications (like Kubernetes), and complex virtual machine (VM) arrays benefit greatly from large memory pools. The 64GB capacity makes it possible to scale RAM allocations efficiently, ensuring that even RAM-hungry workloads run smoothly and responsively.

Quad Rank x4 Architecture

The Quad Rank x4 structure provides higher density and better signal handling by dividing memory chips into four ranks, each containing x4 data width chips. This modular data structure enhances reliability and reduces electrical load on the memory controller. The architecture is especially suitable for high-capacity enterprise servers that demand large RAM modules with increased stability.

ECC and LRDIMM Technologies

ECC Registered memory incorporates an additional chip to process error-checking algorithms. This is crucial for preventing data corruption and ensuring system integrity. Meanwhile, Load-Reduced DIMM (LRDIMM) technology decreases electrical load by buffering both the address and data signals. Unlike RDIMMs, LRDIMMs allow significantly higher memory density, enabling servers to reach their maximum supported RAM capacity without compromising performance.

1.2v Low-Voltage Power Efficiency

With an operating voltage of just 1.2 volts, this DDR4 module helps reduce total server power consumption. Large data centers may use hundreds or thousands of memory modules, and this low-voltage design significantly decreases heat output and operational costs. Reduced power draw also leads to fewer thermal challenges, contributing to longer hardware lifespan.

288-Pin DIMM Form Factor

The standardized 288-pin design ensures compatibility with a wide range of modern enterprise servers and workstation motherboards. The robust pin configuration supports high-speed data transfers and maintains strong electrical conductivity.

Enterprise-Grade Server Memory Modules

The Hynix HMAA8GL7AMR4N-VK is part of a larger category of DDR4 ECC Registered LRDIMM server memory modules. Understanding this category helps businesses choose the right memory configuration for optimized server performance. In professional environments, memory modules must meet strict demands for uptime, data accuracy, multitasking, and long-term durability.

ECC vs Non-ECC Memory

ECC memory is engineered to detect and correct errors that may occur during data transmission or processing. Non-ECC memory lacks this functionality, making it unsuitable for mission-critical workloads. Server memory modules such as the HMAA8GL7AMR4N-VK use ECC to protect sensitive data and ensure that servers run continuously without data corruption or downtime.

RDIMM vs LRDIMM in Server Environments

Registered DIMMs (RDIMMs) buffer the address and command signals to improve memory controller stability. LRDIMMs take this a step further by also buffering the data signals, substantially reducing the electrical load on the CPU’s memory controller. This allows servers to support significantly higher memory densities and maintain consistent performance even when fully populated with multiple high-capacity modules.

DDR4 in Enterprise Server Ecosystems

DDR4 memory is widely used across modern servers due to its enhanced performance benefits. Compared to previous generations, DDR4 offers improved bandwidth, lower power consumption, and better overall efficiency. For large IT infrastructures, these improvements translate into lower operational costs and significantly increased processing capabilities.

Multi-Channel Memory Optimization

Modern servers use multi-channel memory architectures to improve performance through parallelism. The HMAA8GL7AMR4N-VK works efficiently in single, dual, quad, and even octa-channel configurations depending on the server’s processor. Large-memory servers can fully leverage this capability for enhanced computational performance.

Performance Benefits

Deploying high-capacity LRDIMM modules like the HMAA8GL7AMR4N-VK dramatically transforms server performance. From virtualization to high-performance computing (HPC), this memory module ensures fast, stable, and consistent operations.

Database and Transactional Workloads

In-memory databases, data warehousing, and high-frequency transactional systems rely heavily on fast memory to minimize latency. The HMAA8GL7AMR4N-VK offers the bandwidth and reliability needed to handle such operations without bottlenecking data throughput.