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Product Overview |
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The Intel NMA1XBD256GQS memory module delivers 256GB of DDR4 memory with Optane DC Persistent Memory technology, making it suitable for enterprise-grade servers and data centers. It bridges the gap between traditional volatile memory and storage, enabling systems to retain data even during power interruptions. This module is a practical choice for environments focused on performance reliability and large memory demands. |
General Information |
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| Brand | Intel |
| Part Number | NMA1XBD256GQS |
Technical Information |
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| Memory Capacity | 256GB |
| Memory Technology | DDR4 |
| Module Type | RDIMM |
| RAM Standard | PC4-21300 |
| Pin Count | 288-Pin |
| Error Correction | ECC |
| Voltage | 1.2V |
Performance |
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| Bus Speed | 2666MHz |
| Bandwidth | 21300 MB/s |
| Native Speed | 2666 MT/s |
Physical Characteristics |
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| Weight | 0.50 |
| Condition | Refurbished |
Miscellaneous |
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| Eco Friendly | Yes |
| Assembly Required | Yes |
Product Description |
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This memory module combines large capacity with persistent memory technology, offering a blend of speed and reliability. Typically used in enterprise servers and data centers, it helps improve workload efficiency and data handling. IT professionals and system architects often choose this module to enhance performance in demanding environments. Key Features
This module is commonly deployed in servers running large databases, analytics, and memory-driven applications. It helps reduce latency and maintains data integrity through power cycles, benefiting organizations needing efficient memory solutions. |
Use Cases |
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The Intel NMA1XBD256GQS memory module is optimized for high-demand data center and enterprise server environments where persistent data retention and large memory capacity are critical. It serves IT professionals managing virtualization, in-memory analytics, and large-scale database applications that require fast, reliable memory access even during power interruptions. How It's Used:
This module facilitates improved operational efficiency by maintaining data persistence across power cycles, allowing scalable memory configurations that support evolving workload demands. Its integration into server architectures aids in minimizing downtime and optimizing performance for complex IT infrastructures. |