HMAA8GR7AJR4N-XNTG Hynix 64GB Pc4-25600 CL22 ECC Dual Rank X4 1.2v DDR4 288-Pin Memory
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Overview of the Hynix HMAA8GR7AJR4N-XNTG 64GB RAM
The Hynix HMAA8GR7AJR4N-XNTG 64GB (1x64GB) PC4-25600 CL22 ECC Dual Rank x4 DDR4 Memory Module is designed for servers that require high stability, rapid data flow, and advanced error correction. This premium-quality module delivers dependable performance for enterprise workloads and data-intensive environments.
General Information
Manufacturer Details
- Brand: Hynix
- Part Number: HMAA8GR7AJR4N-XNTG
- Product Type: 64GB DDR4 SDRAM Registered ECC Memory
Technical Specifications
Performance & Electrical Features
- Capacity: 64GB
- Speed: 3200MHz
- Interface: 288-Pin DIMM
- Bus Standard: PC4-25600
- Error Correction: Registered ECC (Enhanced Stability)
- Timing Cycle: 0.62ns
- CAS Latency: CL22
- Rank: Quad Rank (Rank 4)
- Operating Voltage: 1.2V
Reliability Features
- Improved data integrity with ECC function
- Built for 24/7 operational environments
- Highly stable under heavy multi-task server workloads
Compatibility
System Types
This memory module is typically compatible with a wide range of enterprise-class equipment, including:
- Rack Servers
- Tower Servers
- Workstations supporting Registered ECC DDR4
- Data center server boards
- Virtualization and cloud computing platforms
The Hynix HMAA8GR7AJR4N-XNTG 64GB PC4-25600 CL22 RAM
The category of enterprise-class DDR4 server memory, specifically modules like the Hynix HMAA8GR7AJR4N-XNTG 64GB (1x64GB) PC4-25600 CL22 ECC Dual Rank x4 1.2V DDR4 288-Pin Memory Module, plays a crucial role in modern data processing environments. These modules are designed for high-density, high-performance computing systems that require outstanding reliability, consistent throughput, and efficient energy usage. As data centers, cloud infrastructures, AI-driven platforms, and virtualization environments continue to expand, the demand for robust, large-capacity memory modules grows significantly. This category showcases premium-quality components engineered for mission-critical workloads where stability, speed, and error correction are essential.
Server-grade DDR4 modules within this class typically incorporate ECC (Error-Correcting Code) technology, which automatically detects and corrects common forms of data corruption. This makes them especially suitable for enterprise-level servers, virtualization hosts, HPC systems, and heavy transactional workloads. The Hynix HMAA8GR7AJR4N-XNTG module exemplifies the highest standards of reliability, offering a 64GB capacity in a single DIMM to support massive datasets, multitasking environments, and memory-intensive applications.
The PC4-25600 DDR4 ECC Memory Modules
The PC4-25600 speed rating represents a memory transfer rate of 3200 MT/s (megatransfers per second), which is among the fastest speeds available within the DDR4 architecture. This high bandwidth enables efficient handling of complex workloads, ranging from database operations and distributed computing to data analytics and cloud processing. Memory modules in this speed category are optimized for balancing low latency, high data throughput, and energy efficiency.
DDR4 Architecture and Its Importance for Enterprise Workloads
DDR4 memory technology introduced significant improvements compared to DDR3, including higher frequency support, increased density, lower voltage requirements, and better stability. These enhancements allow enterprise systems to scale further, support larger numbers of virtual machines, and process increasingly large datasets. The Hynix 64GB PC4-25600 DDR4 module belongs to a family of memory solutions engineered for long-term deployment in servers that must handle intensive workloads with minimal downtime.
Voltage Efficiency and Power Management
Operating at 1.2V, this memory module consumes less power compared to earlier generations that commonly ran at 1.5V. Lower voltage not only reduces heat output but also contributes to sustainability goals in data centers where energy savings accumulate rapidly. Power efficiency is crucial for large-scale deployments involving dozens or even hundreds of DIMMs within a single server cluster.
Advantages of Dual Rank x4 Architecture
Dual Rank designs enable better utilization of memory bandwidth, improving performance in multi-threaded and parallel computing tasks. With x4 chip organization, the data is distributed across smaller segments, enhancing error detection and providing higher stability. This architecture is especially valuable in enterprise environments where servers run 24/7 under continuous load.
ECC Technology in Professional Memory Modules
ECC (Error-Correcting Code) memory is fundamental in environments where data integrity is a top priority. By detecting and correcting single-bit errors automatically, ECC reduces the likelihood of system crashes, silent data corruption, and application-level failures. Memory modules that support ECC, like the Hynix HMAA8GR7AJR4N-XNTG, ensure that mission-critical computing tasks proceed without unpredictable interruptions, which is essential for industries such as finance, research, telecommunications, AI model processing, and enterprise cloud platforms.
Use Cases for 64GB ECC DDR4 Memory Modules
Enterprise DDR4 memory modules with a 64GB capacity per DIMM are suitable for a broad range of professional environments. Whether you're building a high-capacity database server, configuring a virtualization host, or optimizing memory for large-scale simulations, these modules provide the performance necessary for demanding workloads.
Data Center Deployments
In data center operations, memory density and stability are essential. Deploying 64GB x 1 ECC modules enables administrators to achieve high total memory capacity while maintaining optimal thermal and power conditions. These modules help modern servers run enormous numbers of concurrent user sessions, microservices, distributed applications, and network functions.
Cloud Computing and Virtualization
Cloud platforms rely on memory-efficient architecture to host virtual machines, containers, and application instances. With high-capacity DDR4 modules, service providers can increase VM density per physical server while reducing overhead. ECC protection ensures that multi-tenant environments remain stable even under unpredictable workloads.
Large-Scale Database Processing
Databases such as Oracle, PostgreSQL, Microsoft SQL Server, and MongoDB require vast memory pools to store indexes, caches, and in-memory processing structures. Using 64GB modules boosts caching efficiency, query processing speed, and transaction handling, reducing latency across mission-critical applications.
High-Performance Computing (HPC)
Scientific simulations, engineering modeling, weather forecasting, molecular research, and industrial analytics depend on HPC infrastructures. These environments need stable and scalable memory capacity. With Dual Rank x4 optimization and ECC correction, this module supports continuous, precise processing across large node clusters.
The Hynix Memory in Enterprise Environments
Hynix (SK Hynix) is known for producing high-quality semiconductor memory solutions trusted worldwide. Their DDR4 ECC modules are used by leading OEMs and system builders because of their adherence to strict performance standards, long-term operational stability, and compatibility with major server platforms.
Build Quality and Reliability Standards
Hynix memory modules go through rigorous quality assurance processes, including thermal cycling tests, signal integrity checks, voltage stress tests, and performance validation under heavy load. This ensures that each module provides long-term reliability even in servers operating continuously.
Performance Optimization with High-Capacity DDR4 ECC RAM
Performance tuning in enterprise systems involves balancing CPU capabilities, memory channels, and storage I/O throughput. High-capacity memory modules like this 64GB ECC unit allow servers to utilize multiple channels effectively, increasing parallel throughput and reducing bottlenecks.
Improved Multitasking
Modern workloads often involve hundreds of simultaneous processes. Having a large, stable memory pool ensures these tasks operate smoothly. Enterprise environments frequently run analytics to process live data feeds while simultaneously managing client connections and background processing tasks.
