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| Product Overview |
|---|
The Micron Low Voltage 16GB DDR3 PC3-10600 module delivers reliable, error-correcting memory aimed at servers and workstations. With its dual rank, 240-pin RDIMM format and energy-efficient 1.35V operation, it fits into systems prioritizing stability and power savings. This module suits environments where consistent uptime and data integrity are essential, such as business servers and mission-critical applications. |
| General Information | |
|---|---|
| Brand | Micron |
| Part Number | MT36KSF2G72PZ-1G4D1HG |
| Technical Information | |
|---|---|
| Memory Capacity | 16GB |
| Memory Technology | DDR3 |
| Module Type | RDIMM |
| RAM Standard | PC3-10600 |
| Pin Count | 240-Pin |
| Error Correction | ECC Registered |
| Rank | Dual Rank |
| Voltage | 1.35V |
| Performance | |
|---|---|
| Bus Speed | 1333MHz |
| Bandwidth | 10600 MB/s |
| Native Speed | 1333 MHz |
| CAS | CL9 |
| Physical Characteristics | |
|---|---|
| Package | DIMM Module |
| Weight | 0.50 |
| Condition | Refurbished |
| Miscellaneous | |
|---|---|
| Eco Friendly | Yes |
| Compliance Standards | RoHS, CE |
| Product Description |
|---|
This 16GB DDR3 memory module from Micron is built for servers and workstations requiring reliable, error-correcting RAM. It runs at 1333MHz with a CAS Latency of 9, offering a solid balance of speed and stability for multitasking and demanding applications. The low voltage design helps reduce power consumption without sacrificing performance. Often found in data centers, enterprise servers, and high-end computing setups, this RDIMM supports dual rank configurations to optimize memory access and capacity. IT professionals and system builders typically choose this module to enhance system reliability and efficiency, especially when uptime is critical. Key Features
This memory module is commonly deployed in enterprise environments where system crashes could lead to significant downtime. It plays a key role in keeping servers and critical machines running smoothly and maintaining data accuracy across workloads. |