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Product Overview |
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The Lenovo 32GB DDR4-2400MHz ECC Registered RDIMM is a memory module designed for servers and professional workstations requiring reliable, error-checked RAM. It fits into systems that demand steady performance and data integrity, especially in enterprise or data center environments. |
General Information |
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| Brand | Lenovo |
| Part Number | 01KM881 |
Technical Information |
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| Memory Capacity | 32GB |
| Memory Technology | DDR4 |
| Module Type | RDIMM |
| RAM Standard | PC4-19200 |
| Pin Count | 288-Pin |
| Error Correction | ECC |
| Rank | 2Rx4 |
| Voltage | 1.2V |
Performance |
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| Bus Speed | 2400 MT/s |
| Bandwidth | 19200 MB/s |
| Native Speed | 2400 MHz |
| CAS | 17 |
Physical Characteristics |
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| Package | FBGA |
| Weight | 0.50 |
| Condition | Refurbished |
Miscellaneous |
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| Compliance Standards | RoHS, CE |
Product Description |
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This Lenovo 32GB DDR4-2400MHz ECC Registered RDIMM is built for servers and workstations needing stable and error-checked memory. Often found in data centers and enterprise systems, it helps maintain system reliability under heavy workloads. Engineered to handle critical applications, this memory module supports error correction to reduce data corruption, making it a solid choice for IT professionals managing demanding environments. Key Features
This module typically appears in rack servers, storage systems, and enterprise-grade machines where uptime and accuracy matter most. Its role is crucial in preventing memory faults that can disrupt operations. |
Use Cases |
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The 01KM881 Lenovo 32GB DDR4-2400MHz ECC Registered RDIMM is engineered for high-demand server environments where data integrity and stability are critical. It is most beneficial in enterprise data centers and professional workstations that require consistent error-correcting performance under heavy workloads. How It's Used:
This memory module enhances operational efficiency by ensuring system reliability and data accuracy in environments where availability is paramount. Its scalability supports growing workloads, making it suitable for evolving infrastructure demands. |