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Samsung M386B4G70DM0-YH930 32GB DDR3-1333MHz LRDIMM 4Rx4 CL9 Memory
- 32GB DDR3 Memory Module
- LRDIMM (Load-Reduced DIMM) form factor
- Speed: DDR3-1333MHz (PC3-10600)
- Rank: 4Rx4 (4 Ranks x 4 bits)
- CAS Latency: CL9
- Voltage: 1.5V
- Designed for servers and high-performance workstations
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Product Overview
The Samsung M386B4G70DM0-YH930 is a 32GB Load-Reduced DIMM (LRDIMM) memory module. It operates at DDR3-1333MHz speed with a 4 ranks x 4 bits organization and CL9 latency.
Technical Information
| Memory Type | DDR3 SDRAM |
| Capacity | 32GB |
| Form Factor | LRDIMM |
| Speed | 1333MHz |
Additional Specifications
| Rank | 4Rx4 |
| CAS Latency | CL9 |
| Part Number | M386B4G70DM0-YH930 |
| Manufacturer | Samsung |
Product Description
This Samsung M386B4G70DM0-YH930 memory module provides a substantial 32GB capacity, making it well-suited for memory-intensive server applications and high-performance computing environments. As a Load-Reduced DIMM (LRDIMM), it incorporates a memory buffer chip that significantly reduces the electrical load on the memory controller. This design characteristic enables the installation of higher memory capacities and improves signal integrity, particularly in systems populated with numerous memory modules. The module operates at a DDR3-1333MHz frequency, offering a practical balance between performance and broad compatibility with various server platforms. The 4Rx4 organization signifies that the memory is structured into four ranks, each featuring a 4-bit data width, which can yield performance advantages in specific server architectures. The CL9 CAS latency ensures efficient and timely data retrieval, contributing to the overall responsiveness of the system. Engineered for exceptional reliability and stability within demanding server environments, this LRDIMM is built to satisfy the stringent requirements of enterprise-grade hardware. Its comprehensive specifications position it as an excellent choice for upgrading servers that require expanded memory capacity to effectively manage larger datasets, support virtualized environments, and handle complex database operations.



