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Product Overview |
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The HPE 8GB PC4-17000 DDR4-2133MHz 1Rx4 ECC Memory module provides essential error-correcting capabilities directly suited for HPE server environments. It fits into systems requiring dependable memory performance with a focus on data integrity, commonly seen in business and data center applications. |
General Information |
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| Brand | HPE |
| Part Number | 726718-B21 |
Technical Information |
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| Memory Capacity | 8GB |
| Memory Technology | DDR4 |
| RAM Standard | PC4-17000 |
| Pin Count | 288-Pin |
| Error Correction | ECC |
| Rank | 1Rx4 |
| Voltage | 1.2V |
Performance |
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| Bus Speed | 2133MHz |
| Bandwidth | 17000 MB/s |
| Native Speed | 2133MT/s |
| CAS | 15 |
Physical Characteristics |
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| Weight | 0.50 |
| Condition | Refurbished |
Product Description |
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This 8GB DDR4-2133MHz memory module is built for reliable performance in HPE servers and enterprise-grade systems. It is commonly used in data centers and business environments where stability and error correction are critical. Often found in HPE ProLiant servers, this ECC memory helps prevent data corruption by detecting and correcting errors during operation. System administrators and IT professionals benefit from its reliability when managing demanding workloads. Key Features
This memory module is typically installed in rack-mounted or blade servers within enterprise IT infrastructures. It plays a vital role in maintaining system stability, especially in virtualization, databases, or other continuous operation scenarios. |
Use Cases |
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The HPE 8GB PC4-17000 DDR4-2133MHz 1Rx4 ECC Memory module is primarily utilized in HPE server and workstation environments where data integrity and system reliability are critical. It is suited for IT professionals managing enterprise-grade infrastructure requiring robust memory solutions that reduce system errors and downtime. How It's Used:
This memory module plays a vital role in maintaining operational stability and error correction in mission-critical deployments. Its ECC capabilities support scalable performance improvements while minimizing the risk of data corruption in demanding IT infrastructures. |