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Product Overview |
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The Cisco 256G LRDIMM module is designed to expand server memory capacity while maintaining efficient performance in Cisco UCS systems. It fits into dual-socket servers requiring high-density memory and supports applications that demand large amounts of fast, reliable RAM without adding excessive power draw. |
General Information |
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| Brand | Cisco |
| Part Number | UCS-ML-256G8RT-H |
Technical Information |
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| Memory Capacity | 256GB |
| Memory Technology | DDR4 |
| Module Type | LRDIMM |
| RAM Standard | PC4-23400 |
| Pin Count | 288-Pin |
| Error Correction | ECC DIMM |
Performance |
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| Bus Speed | 2933 MT/s |
| Bandwidth | 23400 MB/s |
| Native Speed | 2933 MHz |
Physical Characteristics |
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| Package | FBGA |
| Weight | 0.50 |
| Condition | Refurbished |
Product Description |
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This Cisco 256GB LRDIMM memory module boosts server memory capacity and performance, making it suitable for data-intensive applications. Built for Cisco UCS servers, it supports dual-socket systems with a 4-rank configuration to ensure stable and efficient operation. Often found in enterprise environments, this module is ideal for IT professionals looking to enhance server memory without compromising speed or reliability. It's commonly used in data centers and virtualization platforms where high memory density is essential. Key Features
In practical deployment, this memory module is often seen in Cisco UCS environments running virtualization, database management, or analytics tasks. It enables smooth multitasking and faster access to large data sets, helping servers maintain performance under demanding conditions. |
Use Cases |
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The Cisco 256GB DDR4 2933MHz LRDIMM is tailored for enterprise data centers and high-performance computing environments that require substantial memory capacity and reliability. It is especially suited for organizations running intensive virtualization platforms or large-scale database applications on Cisco UCS servers. How It's Used:
This memory module enables scalable growth of server capacity while maintaining operational stability and performance efficiency. Its design aligns well with the demands of modern data centers requiring rapid access to large datasets and consistent uptime. |