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Hynix HMA82GR7MFR4N-UHT2 16GB DDR4-2400MHz RDIMM 1Rx4 CL17 Memory
- Capacity: 16GB
- Type: DDR4 RDIMM
- Speed: 2400MHz
- CAS Latency: CL17
- Configuration: 1Rx4 (Single Rank x4)
- Voltage: 1.2V
- ECC: Yes (Registered ECC)
- Form Factor: DIMM
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Product Overview
The Hynix HMA82GR7MFR4N-UHT2 is a 16GB DDR4 RDIMM memory module designed for server applications. It operates at 2400MHz with a CAS latency of CL17. This module features a 1Rx4 configuration, indicating single rank with four data bits per chip.
Technical Information
| Memory Type | DDR4 SDRAM |
| Module Type | RDIMM (Registered DIMM) |
| Capacity | 16GB |
| Speed | 2400MHz |
Additional Specifications
| CAS Latency | CL17 |
| Rank | 1Rx4 |
| Voltage | 1.2V |
| Error Correction | ECC |
Product Description
The Hynix HMA82GR7MFR4N-UHT2 is a 16GB DDR4 Registered DIMM (RDIMM) memory module, specifically designed for server and enterprise-grade computing systems. It operates at a frequency of 2400MHz, providing substantial bandwidth for data-intensive tasks. The module's CAS latency is rated at CL17, ensuring timely data retrieval and efficient processing for demanding applications. This RDIMM features a 1Rx4 configuration, meaning it is single-rank with memory chips organized as x4 (four data bits per chip). This configuration is often chosen for its balance of density and performance, suitable for systems where maximizing the number of memory modules per channel is a priority. The registered nature of the DIMM helps to reduce the electrical load on the memory controller, enabling greater stability and support for higher memory capacities within the system. As a server-grade memory module, the HMA82GR7MFR4N-UHT2 includes ECC (Error-Correcting Code) capabilities. ECC technology is vital for detecting and correcting memory errors in real-time, thereby enhancing system reliability and preventing data corruption, which is critical for mission-critical applications and continuous operation. The module operates at the standard DDR4 voltage of 1.2V, contributing to energy efficiency in server environments.
