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Samsung M323R4GA3BB0-CQK 32GB DDR5-4800MHz UDIMM 2Rx8 CL40 Memory
- Capacity: 32GB
- Type: DDR5 UDIMM
- Speed: 4800MHz
- Latency: CL40
- Configuration: 2Rx8 (Dual Rank, x8)
- Voltage: Standard DDR5 voltage
- ECC: Not specified (typically non-ECC for UDIMM)
- Application: Servers, Workstations
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Product Overview
The Samsung M323R4GA3BB0-CQK is a high-performance 32GB DDR5 UDIMM memory module designed for demanding server and workstation environments. It operates at a speed of 4800MHz with a CL40 latency, offering significant improvements in data transfer rates and overall system responsiveness.
Technical Information
| Memory Type | DDR5 SDRAM |
| Form Factor | UDIMM |
| Capacity | 32GB |
| Speed | 4800MHz |
Additional Specifications
| CAS Latency | CL40 |
| Rank | 2Rx8 |
| Voltage | 1.1V (Typical DDR5) |
Product Description
This Samsung memory module, identified by SKU M323R4GA3BB0-CQK, represents a significant leap forward in memory technology with its DDR5 architecture. DDR5 offers higher bandwidth, improved power efficiency, and enhanced features compared to previous generations, making it ideal for next-generation computing platforms. The 32GB capacity provides ample room for complex applications and large datasets, while the 4800MHz speed ensures rapid data access. The 2Rx8 configuration indicates a dual-rank module with eight memory chips per rank, which can offer performance benefits in certain memory controllers. The CL40 latency, while higher than some DDR4 modules, is optimized for the DDR5 standard and contributes to the overall high-speed operation. This UDIMM (Unbuffered DIMM) is suitable for systems that do not require ECC memory, often found in high-end consumer desktops and some entry-level servers. Designed for reliability and performance, the M323R4GA3BB0-CQK is a crucial component for users seeking to maximize their system's capabilities. Whether for intensive data analysis, virtual machine hosting, or high-performance gaming, this memory module delivers the speed and capacity needed to handle demanding workloads efficiently.



