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| Product Overview |
|---|
The Samsung 64GB DDR4 PC4-17000 ECC memory module delivers reliable and high-capacity memory performance suited for servers and professional environments. It fits into systems where error correction and consistent operation are essential, supporting heavy workloads and helping maintain data accuracy without interruptions. |
| General Information | |
|---|---|
| Brand | Samsung |
| Part Number | M386A8K40BM1-CPB0Q |
| Technical Information | |
|---|---|
| Memory Capacity | 64GB |
| Memory Technology | DDR4 |
| Module Type | RDIMM |
| RAM Standard | PC4-17000 |
| Pin Count | 288-Pin |
| Error Correction | ECC |
| Rank | 4Rx4 |
| Voltage | 1.2V |
| Performance | |
|---|---|
| Bus Speed | 2133MHz |
| Bandwidth | 17000 MB/s |
| Native Speed | 2133MHz |
| CAS | 15 |
| Physical Characteristics | |
|---|---|
| Weight | 0.50 |
| Condition | Refurbished |
| Miscellaneous | |
|---|---|
| Eco Friendly | Yes |
| Compliance Standards | RoHS, CE |
| Assembly Required | Yes |
| Product Description |
|---|
This Samsung 64GB DDR4 memory module is built for systems that demand large capacity and reliable performance. It operates at 2133MHz, providing a solid balance between speed and power efficiency. ECC (Error-Correcting Code) technology helps detect and correct memory errors, which is crucial in environments where data integrity is important. Commonly used in enterprise-grade servers and high-end workstations, this memory module is suitable for IT professionals and organizations managing intensive workloads such as databases, virtualization, or scientific computing. Its 4Rx4 rank design enhances reliability and compatibility with a wide range of server platforms. Key Features
These memory modules are typically installed in data centers and enterprise servers where uptime and accuracy are critical. They play a key role in maintaining system stability during complex operations and help prevent unexpected system crashes caused by memory errors. Using this Samsung module allows IT teams to upgrade server memory reliably without sacrificing performance or data integrity. |