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Product Overview |
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The MTA18ASF2G72HZ-3G2R1 Micron 16GB DDR4-3200 ECC SODIMM Memory module offers 16GB capacity in a DDR4 format running at 3200 MT/s. It includes ECC functionality to support memory error detection and correction and fits into SODIMM slots for use in compact computing systems. |
General Information |
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| Brand | Micron |
Technical Information |
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| Memory Capacity | 16GB |
| Memory Technology | DDR4 |
| Module Type | SO-DIMM |
| RAM Standard | PC4-25600 |
| Pin Count | 260-Pin |
| Error Correction | ECC |
| Rank | 2Rx8 |
| Voltage | 1.2V |
Performance |
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| Bus Speed | 3200 MT/s |
| Bandwidth | 25600 MB/s |
| Native Speed | 3200MHz |
| CAS | CL22 |
Physical Characteristics |
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| Dimensions | 67.6 x 30 x 3.8 mm |
| Weight | 3.00 |
| Condition | Refurbished |
Miscellaneous |
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| Compliance Standards | RoHS |
| Assembly Required | No |
Product Description |
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The MTA18ASF2G72HZ-3G2R1 is a 16GB DDR4-3200 ECC SODIMM memory module designed to provide memory capacity and error correction in compact form factors. It is commonly used in workstations, servers, and embedded systems that require error-correcting code (ECC) memory for increased data integrity. Typically employed by IT professionals and system integrators, this module supports 3200 MT/s transfer rates and fits into standard DDR4 SODIMM slots. Key Features
This memory module plays a crucial role in maintaining system stability by correcting single-bit memory errors, which is essential in environments where data integrity is a priority. Its compact SODIMM design allows it to be used in smaller systems without sacrificing capacity or performance. |
Use Cases |
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This memory module is typically used in systems requiring error-correcting code memory to increase data reliability, such as servers, workstations, and embedded computing platforms. It benefits environments where memory integrity and compact form factors are critical. How It's Used:
Overall, this module serves to enhance system stability and reliability in environments sensitive to data errors while fitting within space-constrained hardware architectures. |
FAQ's |
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