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HP K2Q35-63001-GEN Controller Module for 3PAR 8200 z5
- Type: Controller Module
- System: HP 3PAR StoreServ 8200
- Function: Manages storage operations, performance, and connectivity
- Architecture: High-availability, redundant design
- Purpose: Core processing for the storage array
- Compatibility: HP 3PAR 8200 series
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Product Overview
The HP K2Q35-63001-GEN is a Controller Module specifically designed for the HP 3PAR StoreServ 8200 storage system. It plays a crucial role in managing data operations, performance, and connectivity for the storage array.
Technical Information
| Product Type | Controller Module |
| System Compatibility | HP 3PAR StoreServ 8200 |
Additional Specifications
| Function | Storage Management & Processing |
| Manufacturer | HP |
Product Description
The HP K2Q35-63001-GEN is a vital component of the HP 3PAR StoreServ 8000 series, specifically designed as a controller module for the 3PAR 8200 storage system. In the context of a 3PAR array, controller modules are the brains of the operation, responsible for managing all data I/O, performance optimization, and system connectivity. This module ensures that data is processed efficiently and reliably, providing the high levels of performance and availability expected from enterprise-grade storage solutions. This controller module is engineered with a focus on high availability and redundancy. Typically, 3PAR systems utilize redundant controller modules to ensure continuous operation even in the event of a single module failure. They house the processing power, memory, and network interfaces required to handle complex storage tasks, including thin provisioning, data deduplication, compression, and snapshots, all managed through the sophisticated 3PAR operating system. As a core element of the 3PAR 8200, the K2Q35-63001-GEN controller module is essential for delivering the performance, scalability, and data services that businesses rely on for their critical applications and data storage needs. Its integration ensures that the storage array can meet demanding workloads and provide a robust platform for data management.
