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Product Overview |
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The HMABAGL7A4R4N-VNT3 SK Hynix 128GB DDR4-2666 CL19 ECC RDIMM Memory module offers 128GB of DDR4 memory with a 2666 MT/s data rate. It includes ECC support for error correction and utilizes a registered DIMM form factor, suitable for server and workstation memory configurations requiring stability and data integrity. |
General Information |
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| Brand | SK Hynix |
Technical Information |
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| Memory Capacity | 128GB |
| Memory Technology | DDR4 |
| Module Type | RDIMM |
| RAM Standard | PC4-21300 |
| Pin Count | 288-Pin |
| Error Correction | ECC |
| Voltage | 1.2V |
Performance |
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| Bus Speed | 2666 MT/s |
| Bandwidth | 21300 MB/s |
| Native Speed | 2666MHz |
| CAS | 19 |
Physical Characteristics |
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| Weight | 3.00 |
| Condition | Refurbished |
Miscellaneous |
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| Assembly Required | No |
Product Description |
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The HMABAGL7A4R4N-VNT3 is a 128GB DDR4-2666 ECC RDIMM memory module produced by SK Hynix. It is designed to provide error-correcting code (ECC) capabilities combined with registered DIMM architecture, making it suitable for use in servers and enterprise-grade workstations where data integrity is critical. This memory module operates at a data rate of 2666 MT/s with a CAS latency of 19, providing a balance between speed and latency for consistent system performance. Key Features
This SK Hynix memory module is primarily used in enterprise servers and high-end workstations where reliability and data accuracy are essential. Its ECC and RDIMM features help maintain system stability during intensive workloads, contributing to overall operational integrity. |
Use Cases |
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This memory module is typically deployed in server and enterprise workstation environments where large memory capacities and error correction are necessary. It suits workloads that demand high data integrity and system stability, such as database management, virtualization, and scientific computing. How It's Used:
In operation, this memory module helps maintain system reliability and performance consistency, especially in environments where data errors must be minimized and large memory allocations are common. |
FAQ's |
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