The Hynix HYMP151F72CP4D3-Y5 is a 4GB DDR3 ECC Registered server memory module. This memory module is designed for use in servers and high-performance workstations, offering enhanced reliability and stability. It incorporates ECC (Error-Correcting Code) functionality, which detects and corrects single-bit memory errors, preventing data corruption and system crashes. Registered memory, also known as buffered memory, includes a register between the DRAM modules and the memory controller, reducing the electrical load on the controller. This design allows servers to support a larger number of memory modules, effectively increasing overall memory capacity.

Applications

• Servers
• High-Performance Workstations
• Data Centers
• Cloud Computing
• Virtualization

Features

• 4GB Capacity
• DDR3 Technology
• ECC (Error-Correcting Code)
• Registered (Buffered)
• PC3-10600 (1333MHz) Speed
• 240-Pin DIMM

Benefits

• Improved System Stability: ECC functionality ensures data integrity by correcting memory errors, thus preventing system instability.
• Increased Memory Capacity: The registered design supports higher memory density in server environments, accommodating larger workloads.
• Enhanced Data Integrity: By correcting errors, the module ensures that data stored in memory remains accurate and reliable.
• Higher Performance: DDR3 technology provides faster data transfer rates compared to previous generations.
• Optimized for Server Environments: This module is specifically designed and tested for the rigorous demands of server applications.

Additional Details

The HYMP151F72CP4D3-Y5 operates at a speed of 1333MHz (PC3-10600) and is a 240-pin DIMM, which is the standard form factor for DDR3 memory. It typically requires a voltage of 1.5V. The use of ECC Registered memory significantly improves the reliability and uptime of servers, making it ideal for business-critical applications and data centers. This memory module is engineered to meet JEDEC standards, ensuring compatibility across a wide range of server platforms. It is commonly used in servers to handle large datasets and computationally intensive tasks, providing continuous and reliable operation even under heavy workloads.