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| Product Overview |
|---|
The MTC20F1045S1RC56BD2 Micron memory module features 32GB DDR5-5600 ECC registered technology with a 1Rx4 rank configuration, providing high-speed data transfer and enhanced reliability for server and workstation platforms. |
| General Information | |
|---|---|
| Brand | Micron |
| Part Number | MTC20F1045S1RC56BD2 |
| Technical Information | |
|---|---|
| Memory Capacity | 32GB |
| Memory Technology | DDR5 |
| Module Type | RDIMM |
| RAM Standard | PC5-44800 |
| Pin Count | 288-Pin |
| Error Correction | ECC Registered |
| Rank | 1Rx4 |
| Voltage | 1.1V |
| Performance | |
|---|---|
| Bus Speed | 5600 MT/s |
| Bandwidth | 44800 MB/s |
| Native Speed | 5600 MT/s |
| Physical Characteristics | |
|---|---|
| Package | FBGA |
| Weight | 0.50 |
| Condition | Refurbished |
| Miscellaneous | |
|---|---|
| Assembly Required | No |
| Product Description |
|---|
The MTC20F1045S1RC56BD2 Micron 32GB DDR5-5600 memory module is a high-performance ECC registered DIMM designed to support advanced computing systems. Built using the latest DDR5 technology, it offers significant improvements in speed and efficiency over previous generations of memory. This memory module is typically found in enterprise servers, workstations, and data centers where reliability and data integrity are critical. It benefits system administrators and IT professionals who require memory solutions capable of maintaining system stability under demanding workloads. Key Features
With its advanced features and robust design, the MTC20F1045S1RC56BD2 module is engineered to deliver reliable and efficient memory performance in critical computing environments. It enables systems to handle intensive workloads while minimizing errors and downtime. |
| Use Cases |
|---|
This memory module is commonly utilized in professional computing environments where high performance and reliability are paramount. How It's Used:
By integrating this module, organizations can improve system stability, increase processing efficiency, and ensure consistent performance under heavy computational loads. |