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HPE Q8D17A 1.2TB Cache Field for Nimble Storage CS200/400 Series
- 1.2TB Cache Field upgrade.
- Enhances performance for Nimble Storage CS200/400 Series.
- Increases cache capacity for faster data retrieval.
- Improves application response times and I/O performance.
- Designed for demanding enterprise workloads.
- Facilitates seamless integration with existing Nimble arrays.
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Product Overview
The HPE Q8D17A is a 1.2TB Cache Field upgrade specifically designed for HPE Nimble Storage CS200 and CS400 series arrays. It enhances the performance of these storage systems by increasing their cache capacity, leading to faster data access and improved application response times. This upgrade is crucial for workloads that demand high I/O performance.
Technical Information
| Capacity | 1.2TB |
| Product Type | Cache Field Upgrade |
Additional Specifications
| Compatibility | HPE Nimble Storage CS200/400 Series |
Product Description
The HPE Q8D17A 1.2TB Cache Field is an essential component for boosting the performance of HPE Nimble Storage CS200 and CS400 series arrays. By significantly expanding the system's cache memory, this upgrade allows the storage array to hold more frequently accessed data in high-speed memory. This dramatically reduces latency and accelerates data read operations, which is critical for performance-sensitive applications such as databases, virtualization platforms, and VDI environments. This cache upgrade is designed for seamless integration into compatible Nimble Storage systems. It leverages the architecture of the CS200 and CS400 series to provide a straightforward performance enhancement. The increased cache capacity directly translates to higher IOPS (Input/Output Operations Per Second) and improved throughput, enabling the storage system to handle more concurrent requests with greater efficiency. Implementing the Q8D17A cache field is a strategic move for organizations looking to maximize the return on their Nimble Storage investment. It allows existing hardware to deliver superior performance without requiring a full system replacement. This upgrade is particularly beneficial for environments experiencing growth in data demands or those seeking to optimize the performance of their most critical applications.
