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Product Overview |
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The Samsung 32GB DDR5 PC5-38400 4800MT/s ECC 2RX8 Memory Module offers fast, error-correcting memory ideal for use in servers and professional workstations. It's designed to deliver both speed and reliability where consistent performance matters most. |
General Information |
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| Brand | Samsung |
| Part Number | M321R4GA3BB0-CQKUE |
Technical Information |
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| Memory Capacity | 32GB |
| Memory Technology | DDR5 |
| Module Type | RDIMM |
| RAM Standard | PC5-38400 |
| Pin Count | 288-Pin |
| Error Correction | ECC Registered |
| Rank | 2Rx8 |
| Voltage | 1.1V |
Performance |
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| Bus Speed | 4800MT/s |
| Bandwidth | 38400 |
| Native Speed | 4800MHz |
| CAS | 40 |
Physical Characteristics |
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| Weight | 0.50 |
| Condition | Refurbished |
Miscellaneous |
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| Eco Friendly | Yes |
| Compliance Standards | RoHS, CE |
| Assembly Required | Yes |
Product Description |
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This Samsung 32GB DDR5 memory module enhances system speed and reliability with its advanced memory technology. It is commonly used in servers and workstations where data integrity and quick processing are crucial. Built for demanding environments, this module supports error correction to reduce data corruption risks, making it a preferred choice for IT professionals and system builders focused on stability. Key Features
Typically deployed in enterprise servers, data centers, and high-end workstations, this memory module helps maintain uptime and efficient data processing. Its role in preventing errors is key for mission-critical systems. |
Use Cases |
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The Samsung 32GB DDR5 PC5-38400 4800MT/s ECC 2RX8 Memory Module is engineered for environments where system reliability and high-speed memory access are critical. It is particularly suited for IT infrastructures requiring error correction to maintain uptime and data integrity under heavy workloads. How It's Used:
This memory module enhances operational efficiency by minimizing system errors and downtime, facilitating smoother scalability in growing IT deployments. Its combination of speed and ECC functionality supports robust performance in demanding computational settings. |