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Oracle 7114651 32GB DDR4-2400MHz RDIMM 2Rx4 CL17 Memory
- Capacity: 32GB
- Type: DDR4 SDRAM
- Form Factor: RDIMM (Registered DIMM)
- Speed: 2400MHz (PC4-19200)
- Rank: 2Rx4 (Dual Rank, x4 organization)
- Latency: CL17
- Designed for Oracle server platforms
- Enhances system performance for demanding workloads
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Product Overview
The Oracle 7114651 is a 32GB DDR4 Registered DIMM (RDIMM) memory module. Operating at 2400MHz, it provides high-speed data access for Oracle servers and workstations. This 2Rx4 module offers a balance of capacity and performance suitable for memory-intensive enterprise applications.
Technical Information
| Capacity | 32GB |
| Memory Type | DDR4 SDRAM |
| Form Factor | RDIMM |
| Speed | 2400MHz |
Additional Specifications
| Rank | 2Rx4 |
| CAS Latency | CL17 |
| Part Number | 7114651 |
Product Description
The Oracle 7114651 is a high-capacity 32GB memory module designed to enhance the performance of Oracle server systems. This module utilizes DDR4 SDRAM technology, offering superior speed and power efficiency compared to previous generations. It operates at a frequency of 2400MHz, providing ample bandwidth for demanding enterprise applications such as large databases, virtualization, and in-memory analytics. As a Registered DIMM (RDIMM), the 7114651 includes onboard registers that buffer command and address signals, reducing electrical load on the memory controller. This feature allows for higher memory capacities and improved signal integrity, making it suitable for systems requiring significant amounts of RAM. The 2Rx4 configuration indicates a dual-rank design with a x4 data width per rank, optimizing performance and density. With a CAS Latency (CL) of 17, this memory module strikes a balance between speed and stability. The 7114651 is specifically validated for use in Oracle's server infrastructure, ensuring compatibility and reliability for critical business operations. Upgrading to these modules can significantly boost system responsiveness and multitasking capabilities, allowing servers to handle more concurrent users and complex workloads effectively.
