
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 P65256-001 HPE 96GB DDR5-5600 PC5-44800 2Rx4 ECC Smart Memory provides large-scale memory capacity with advanced error correction and high-speed data transfer designed for enterprise-grade server applications. |
| General Information | |
|---|---|
| Brand | HPE |
| Part Number | P65256-001 |
| Technical Information | |
|---|---|
| Memory Capacity | 96GB |
| Memory Technology | DDR5 |
| Module Type | RDIMM |
| 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 | |
|---|---|
| Assembly Required | No |
| Product Description |
|---|
The P65256-001 HPE 96GB DDR5-5600 PC5-44800 2Rx4 ECC Smart Memory is a high-capacity memory module designed for advanced server systems. It utilizes DDR5 technology to deliver faster data rates and improved efficiency compared to previous generations. This memory module is typically found in enterprise server environments where reliability, speed, and large memory capacity are critical. IT professionals and system administrators benefit from its error-correcting code (ECC) functionality, which helps maintain data integrity in mission-critical applications. Key Features
This memory module supports demanding data center operations, improving system responsiveness and reliability. It is well-suited for virtualization, database management, and other high-memory-usage scenarios. |
| Use Cases |
|---|
This HPE memory module is engineered to enhance server performance and reliability in demanding environments. How It's Used:
Deployed in data centers and enterprise IT environments, this memory module helps maintain system stability and efficiency under heavy workloads. |