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| Product Overview |
|---|
The Micron 64GB DDR4 3200MHz RDIMM ECC Memory Module provides substantial memory capacity and fast performance for server and workstation environments. It’s designed to support error correction which helps prevent data loss, fitting well in systems where reliability is a priority. This module is a dependable choice for expanding memory in applications that demand both speed and accuracy. |
| General Information | |
|---|---|
| Brand | Micron |
| Part Number | MTA36ASF8G72PZ-3G2B2R |
| Technical Information | |
|---|---|
| Memory Capacity | 64GB |
| Memory Technology | DDR4 |
| Module Type | RDIMM |
| RAM Standard | PC4-25600 |
| Pin Count | 288-Pin |
| Error Correction | ECC (Registered) |
| Rank | 2R (Dual Rank) |
| Voltage | 1.2V |
| Performance | |
|---|---|
| Bus Speed | 3200 MT/s |
| Bandwidth | 25600 MB/s |
| Native Speed | 3200 MHz |
| CAS | CL22 |
| Physical Characteristics | |
|---|---|
| Weight | 0.50 |
| Condition | Refurbished |
| Miscellaneous | |
|---|---|
| Eco Friendly | Yes |
| Compliance Standards | RoHS, CE |
| Assembly Required | Yes |
| Product Description |
|---|
This Micron 64GB DDR4 3200MHz RDIMM ECC Memory Module is built for systems requiring large capacity and stable performance. It is often found in servers and high-end workstations where memory integrity and speed are critical. The ECC functionality helps detect and correct memory errors, making it a reliable choice for enterprise environments. The module fits into DDR4 compatible motherboards supporting registered DIMMs, ensuring it meets strict standards for data accuracy and system uptime. IT professionals and data center administrators typically use this memory to enhance system robustness and handle demanding workloads. Key Features
This memory module is commonly deployed in data centers and enterprise servers where uptime and reliability are essential. It helps maintain smooth operation during heavy workloads without sacrificing performance or stability. You'll often see these modules in use for virtualization, database management, and large-scale computing tasks. |