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Product Overview |
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The Samsung 32GB DDR4 PC4-25600 ECC memory module delivers reliable and high-speed memory suitable for servers and professional systems that require error correction. It fits well in environments where data accuracy and system uptime are critical, providing a steady and efficient memory solution. |
General Information |
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| Brand | Samsung |
| Part Number | M386A8K40DM2-CVFB0 |
Technical Information |
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| Memory Capacity | 32GB |
| Memory Technology | DDR4 |
| Module Type | RDIMM |
| RAM Standard | PC4-25600 |
| Pin Count | 288-Pin |
| Error Correction | ECC Registered |
| Rank | 2 |
| Voltage | 1.2V |
Performance |
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| Bus Speed | 3200MHz |
| Bandwidth | 25600 MB/s |
| Native Speed | 3200 MT/s |
Physical Characteristics |
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| Weight | 0.50 |
| Condition | Refurbished |
Miscellaneous |
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| Eco Friendly | Yes |
| Compliance Standards | RoHS |
| Assembly Required | Yes |
Product Description |
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This Samsung 32GB DDR4 memory module is built for systems that need dependable and high-capacity RAM. It’s commonly used in servers and professional workstations where data integrity is crucial. Often found in enterprise environments, the ECC (Error-Correcting Code) features help detect and correct memory errors, minimizing system crashes and data corruption. IT professionals and system administrators typically rely on modules like this to maintain uptime and performance. Key Features
This memory module is usually installed in enterprise-grade servers, data centers, and high-end workstations. It plays an important role in keeping systems stable during intensive computing tasks and large-scale data processing. |
Use Cases |
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The Samsung 32GB DDR4 3200MHz ECC memory module is designed for high-stability computing environments where data integrity and uptime are paramount. It is ideal for deployment in enterprise servers and workstations managing critical workloads that demand consistent error correction and performance reliability. How It's Used:
By integrating ECC memory modules like this Samsung 32GB module, organizations can reduce memory-related faults and improve system resilience. This results in optimized performance and scalability across demanding server infrastructures and professional computing environments. |