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IBM 09L5596 4-Ports 64MB Cache SSA RAID Controller Card for RS6000
- 4-Port SSA (Serial Storage Architecture) interface
- 64MB integrated cache memory
- RAID controller for data redundancy and performance
- Designed for IBM RS6000 server platforms
- Supports multiple RAID levels for data protection and speed
- Enhances storage I/O performance
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Product Overview
The IBM 09L5596 is a 4-port SSA RAID controller card for RS6000 servers, featuring 64MB of cache. It is designed to provide advanced storage management and data protection.
Technical Information
| Port Type | SSA (Serial Storage Architecture) |
| Number of Ports | 4 |
| Cache Memory | 64MB |
Additional Specifications
| RAID Controller | Yes |
| Form Factor | Controller Card |
| Compatibility | IBM RS6000 |
Product Description
The IBM 09L5596 is a specialized RAID controller card engineered for the IBM RS6000 server environment, offering robust storage management capabilities. It utilizes the Serial Storage Architecture (SSA) interface, a high-performance and reliable connection technology for storage devices. This controller is equipped with 64MB of onboard cache memory, which is essential for optimizing data transfer speeds and reducing latency. The cache acts as a high-speed buffer, storing frequently accessed data and improving the overall responsiveness of the storage subsystem. This controller card supports various RAID (Redundant Array of Independent Disks) configurations, enabling users to implement solutions for data redundancy, performance enhancement, or a combination of both. By configuring drives in RAID arrays, businesses can achieve higher levels of data availability and protection against drive failures. The 4-port SSA design allows for the connection of multiple drives or storage expansion units, providing scalability for growing data needs. Designed to integrate seamlessly into RS6000 servers, the 09L5596 offloads RAID processing from the host CPU, dedicating its own resources to managing the storage array. This dedicated hardware acceleration ensures efficient operation and prevents performance bottlenecks. It is an ideal component for applications that demand high data integrity and consistent performance, such as databases, file servers, and other critical enterprise workloads.
