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Hynix HMCG88AEBRA168N 32GB DDR5-4800MHz RDIMM 2Rx4 CL40 Memory
- 32GB DDR5 Memory Module
- Registered DIMM (RDIMM)
- Speed: 4800MHz
- CAS Latency: CL40
- Dual Rank (2Rx4)
- High-performance computing memory
- Server and workstation grade
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Typically 1-2 handling + 3-7 transit days
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For government, enterprise, data center, and small business customers.
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Product Overview
The Hynix HMCG88AEBRA168N is a 32GB DDR5 Registered DIMM (RDIMM) memory module. It operates at a speed of 4800MHz with CL40 latency, designed for high-performance computing systems requiring advanced memory capabilities.
Technical Information
| Product Type | Memory Module |
| Capacity | 32GB |
| Memory Technology | DDR5 SDRAM |
| Form Factor | RDIMM (Registered DIMM) |
Additional Specifications
| Speed | 4800MHz |
| CAS Latency | CL40 |
| Rank | 2Rx4 (Dual Rank x4) |
Product Description
The Hynix HMCG88AEBRA168N is a high-capacity 32GB DDR5 Registered DIMM (RDIMM) memory module, engineered to deliver superior performance and reliability for demanding server and workstation applications. DDR5 technology represents a significant advancement over previous generations, offering increased bandwidth, lower power consumption, and enhanced signal integrity, which are critical for modern data-intensive workloads. This specific module operates at a clock speed of 4800MHz, providing substantial data throughput. Coupled with a CAS Latency (CL) of 40, it balances speed with stability, making it suitable for a wide range of enterprise computing tasks. The 2Rx4 configuration indicates a dual-rank design with x4 data width per rank, optimizing memory access patterns and improving overall system responsiveness in multi-processor environments. As an RDIMM, the HMCG88AEBRA168N includes onboard registers that buffer command and address signals, reducing electrical load on the memory controller and allowing for higher memory capacities and speeds. This makes it an ideal choice for servers and high-end workstations that require large amounts of stable, high-speed memory to handle complex computations, large datasets, and virtualization environments effectively.


