
Subscribe To Our Newsletter!
Subscribe to the newsletter to stay up to date with the latest news and most useful
Newsletter
↑
Back to Top
| Product Overview |
|---|
The HMCGM4MGBQB248N Hynix memory module features 96GB DDR5 capacity with 5600 MT/s speed, 2Rx4 ECC configuration for enhanced error correction, and adherence to PC5-44800 standards for high-performance computing environments. |
| General Information | |
|---|---|
| Brand | SK Hynix |
| Part Number | HMCGM4MGBQB248N |
| Technical Information | |
|---|---|
| Memory Capacity | 96GB |
| Memory Technology | DDR5 |
| RAM Standard | PC5-44800 |
| Pin Count | 288-Pin |
| Error Correction | ECC |
| Rank | 2Rx4 |
| Voltage | 1.1V |
| Performance | |
|---|---|
| Bus Speed | 5600 MT/s |
| Bandwidth | 44800 MB/s |
| Native Speed | 5600 MT/s |
| Physical Characteristics | |
|---|---|
| Package | FBGA |
| Weight | 0.50 |
| Condition | Refurbished |
| Miscellaneous | |
|---|---|
| Eco Friendly | Yes |
| Assembly Required | No |
| Product Description |
|---|
The HMCGM4MGBQB248N Hynix 96GB DDR5-5600 PC5-44800 2Rx4 ECC Memory module is engineered to deliver large capacity and high-speed performance for advanced computing systems. This DDR5 memory operates at 5600 MT/s, providing faster data processing and improved bandwidth compared to previous generations. Typically found in enterprise servers, workstations, and data centers, this memory module supports error-correcting code (ECC) to enhance system reliability and data integrity, which is critical in mission-critical applications. IT professionals and system builders benefit from its robust design and high-capacity configuration. Key Features
This memory module is ideal for systems requiring large memory pools and reliable operation under demanding workloads. It helps improve multitasking, data processing speeds, and overall system stability. |
| Use Cases |
|---|
This memory module is suited for applications demanding high capacity and reliability. How It's Used:
By integrating this memory, organizations can enhance system performance and data integrity in demanding computational tasks. |