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| Product Overview |
|---|
The HMCG84AEBRA107N Hynix 32GB DDR5-4800 PC5-38400 2Rx8 ECC Memory module features a high-speed 4800 MHz DDR5 interface, ECC technology for error correction, a 32GB capacity for handling large workloads, and a 2Rx8 rank design optimized for server and workstation stability. |
| General Information | |
|---|---|
| Brand | SK Hynix |
| Part Number | HMCG84AEBRA107N |
| Technical Information | |
|---|---|
| Memory Capacity | 32GB |
| Memory Technology | DDR5 |
| RAM Standard | PC5-38400 |
| Pin Count | 288-Pin |
| Error Correction | ECC |
| Rank | 2Rx8 |
| Voltage | 1.1V |
| Performance | |
|---|---|
| Bus Speed | 4800 MT/s |
| Bandwidth | 38400 MB/s |
| Native Speed | 4800 MT/s |
| Physical Characteristics | |
|---|---|
| Package | FBGA |
| Weight | 0.50 |
| Condition | Refurbished |
| Miscellaneous | |
|---|---|
| Assembly Required | No |
| Product Description |
|---|
The HMCG84AEBRA107N is a 32GB DDR5 memory module designed to deliver high-speed performance and reliability for computing systems. It operates at a frequency of 4800 MHz, which provides fast data transfer rates suitable for demanding applications. This memory is commonly found in servers, workstations, and enterprise environments where data integrity and system stability are critical. The ECC feature helps detect and correct memory errors, reducing the risk of data corruption and system crashes. IT professionals, system builders, and organizations requiring robust memory solutions benefit from this module’s advanced features and capacity. Key Features
This module is engineered to meet the demands of modern computing environments, offering a balance of speed, capacity, and reliability. It supports improved multitasking and application responsiveness in enterprise-grade systems. |
| Use Cases |
|---|
This memory module is ideal for environments that require dependable and fast memory solutions. How It's Used:
These applications leverage the module's speed and ECC capabilities to maintain system efficiency and reliability under heavy workloads. |