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Product Overview |
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The Micron 32GB DDR4 PC4-25600 3200MHz Memory Module offers a substantial increase in system memory for desktops and workstations. It fits into DDR4 slots and delivers faster data transfer speeds to support demanding tasks without compromising system stability. |
General Information |
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| Brand | Micron |
| Part Number | MTA18ASF4G72PZ-3G2B1R |
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 | 2Rx4 |
| Voltage | 1.2V |
Performance |
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| Bus Speed | 3200 MT/s |
| Bandwidth | 25600 MB/s |
| Native Speed | 3200MHz |
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 32GB DDR4 memory module from Micron offers reliable and fast memory performance suitable for demanding applications. It is commonly used in desktops and workstations requiring large memory capacity and fast data access speeds. Built for users needing to run memory-intensive tasks such as video editing, 3D rendering, or multitasking, this module helps improve system responsiveness and overall performance. Key Features
This memory module is typically found in professional workstations and gaming setups where performance and reliability are critical. It plays a key role in reducing system bottlenecks and enabling faster load times for applications. |
Use Cases |
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The Micron 32GB DDR4 3200MHz memory module is ideal for environments requiring robust multitasking and high-throughput data processing. It supports heavy workloads found in professional desktop setups, workstations, and entry-level servers where memory capacity and speed are critical. How It's Used:
This memory module enhances system responsiveness and stability by providing sufficient capacity and speed to handle intensive workloads. It contributes to scalable infrastructure by ensuring memory resources can meet the demands of growing applications and user concurrency. |