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Hynix HMA451R7AFR8N-TFTD 4GB DDR4-2133MHz RDIMM 1Rx8 CL15 Memory
- Capacity: 4GB.
- Memory Type: DDR4 SDRAM.
- Speed: 2133MHz (PC4-17000).
- Form Factor: RDIMM (Registered DIMM).
- Rank: 1Rx8 (Single Rank x8).
- Latency: CL15.
- Designed for servers and workstations.
- Enhances system performance and multitasking capabilities.
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Product Overview
The Hynix HMA451R7AFR8N-TFTD is a 4GB DDR4-2133MHz RDIMM memory module. It features a 1Rx8 organization and CL15 latency, designed for servers and workstations that support DDR4 memory, offering enhanced performance and capacity for demanding applications.
Technical Information
| Capacity | 4GB |
| Memory Type | DDR4 SDRAM |
| Speed | 2133MHz |
| Module Type | RDIMM (Registered DIMM) |
Additional Specifications
| Rank | 1Rx8 (Single Rank x8) |
| CAS Latency | CL15 |
| Brand | Hynix |
| Part Number | HMA451R7AFR8N-TFTD |
Product Description
The Hynix HMA451R7AFR8N-TFTD is a 4GB Registered Dual In-line Memory Module (RDIMM) that utilizes DDR4 SDRAM technology. Operating at a speed of 2133MHz, this module is designed to provide a significant boost in system performance for servers and high-end workstations. The RDIMM format includes onboard registers that help reduce electrical load on the memory controller, allowing for greater stability and the potential to install more memory modules in a system compared to unbuffered DIMMs (UDIMMs). This specific module is organized as 1Rx8, indicating it is a single-rank module with eight memory chips per rank. The CAS Latency (CL) is rated at 15, which refers to the number of clock cycles required to access a particular column in memory. Lower CAS latency generally contributes to faster memory response times. The DDR4 standard itself offers improvements in speed, power efficiency, and density over previous DDR generations. This Hynix memory module is an ideal upgrade or replacement component for systems that require reliable and high-performance memory. It is particularly suited for enterprise environments running memory-intensive applications, virtualization, databases, or complex data processing tasks where increased RAM capacity and speed are critical for optimal operation.
