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Hynix HMA82GR7DJR8N-VKTF-AA 16GB DDR4-2666MHz RDIMM 2Rx8 CL19 Memory
- Capacity: 16 GB
- Type: DDR4 SDRAM
- Speed: 2666 MHz (PC4-21300)
- Form Factor: RDIMM (Registered DIMM)
- Rank: 2Rx8 (Dual Rank x8)
- CAS Latency: CL19
- Designed for servers and high-performance workstations
- ECC (Error-Correcting Code) support
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Product Overview
The Hynix HMA82GR7DJR8N-VKTF-AA is a 16GB DDR4-2666MHz RDIMM memory module. It is a dual-rank (2Rx8) module designed for servers and workstations requiring high-speed, reliable memory.
Technical Information
| Product Type | Memory Module |
| Capacity | 16 GB |
| Type | DDR4 SDRAM |
| Speed | 2666 MHz |
Additional Specifications
| Form Factor | RDIMM |
| Rank | 2Rx8 |
| CAS Latency | CL19 |
| ECC | Yes |
Product Description
The Hynix HMA82GR7DJR8N-VKTF-AA is a 16 Gigabyte (GB) DDR4 Synchronous Dynamic Random-Access Memory (SDRAM) module. It operates at a speed of 2666 MHz, identified as PC4-21300, providing high bandwidth for demanding applications. This module is a Registered DIMM (RDIMM), which includes an onboard register to reduce electrical load on the memory controller, enhancing stability and allowing for higher memory capacities and speeds in server environments. This specific module is configured as Dual Rank (2Rx8), meaning it contains two sets of memory chips (ranks) accessed independently, which can improve performance in certain scenarios by allowing the memory controller to interleave operations. The CAS Latency is CL19, indicating the number of clock cycles required to access a particular column of data. It also supports ECC (Error-Correcting Code) functionality, crucial for detecting and correcting single-bit memory errors, thereby ensuring data integrity and system reliability in critical applications. Designed primarily for servers and high-performance workstations, the HMA82GR7DJR8N-VKTF-AA is built to meet the rigorous demands of enterprise computing. Its combination of capacity, speed, rank configuration, and ECC support makes it a robust choice for memory-intensive tasks such as virtualization, database management, scientific computing, and large-scale data processing.
