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Hynix HMA84GR7AFR4N-UHT2 32GB DDR4-2400MHz RDIMM 2Rx4 CL17 Memory
- Capacity: 32GB
- Type: DDR4 RDIMM
- Speed: 2400MHz
- Latency: CL17
- Configuration: 2Rx4 (Dual Rank x4)
- Designed for server and workstation applications
- Supports ECC (Error-Correcting Code) functionality
- High reliability for demanding workloads
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Product Overview
The Hynix HMA84GR7AFR4N-UHT2 is a 32GB DDR4 Registered DIMM (RDIMM) memory module. It operates at 2400MHz with a CL17 latency and features a 2Rx4 configuration, designed for servers and high-performance workstations.
Technical Information
| Capacity | 32GB |
| Memory Type | DDR4 |
| Form Factor | RDIMM |
Additional Specifications
| Speed | 2400MHz |
| Latency | CL17 |
| Rank | 2Rx4 |
Product Description
The Hynix HMA84GR7AFR4N-UHT2 is a high-capacity 32GB DDR4 Registered DIMM (RDIMM) memory module, engineered for demanding server and workstation environments. Operating at a speed of 2400MHz, it provides a substantial bandwidth for data-intensive applications. The CL17 CAS latency indicates the number of clock cycles required to access data, offering a balance between speed and stability for enterprise-grade performance. This module features a 2Rx4 (Dual Rank x4) configuration, which means it utilizes two ranks of memory chips, each with four data lines. This configuration can enhance performance by allowing the memory controller to access different ranks concurrently, improving efficiency in multi-processor systems or when handling large datasets. As an RDIMM, it includes an onboard register that buffers command and address signals, reducing electrical load on the memory controller and enabling higher memory capacities and speeds. The HMA84GR7AFR4N-UHT2 is designed for reliability and stability, crucial for mission-critical server operations. It supports ECC (Error-Correcting Code) functionality, which detects and corrects single-bit errors in real-time, preventing data corruption and system crashes. This makes it an ideal choice for servers, data centers, and high-performance computing tasks where uptime and data integrity are paramount.



