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HPE P27645-001 1.92TB NVMe Read Intensive 2.5-Inch Solid State Drive
- Capacity: 1.92TB
- Interface: NVMe
- Drive Type: Solid State Drive (SSD)
- Form Factor: 2.5-Inch
- Workload Optimization: Read Intensive
- Designed for enterprise servers and storage
- Delivers high IOPS for read-heavy tasks
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Product Overview
This HPE P27645-001 1.92TB NVMe Read Intensive 2.5-inch Solid State Drive is built for applications that demand high read performance. It combines the speed of NVMe with a 2.5-inch form factor for enterprise server integration.
Technical Information
| SKU | P27645-001 |
| Brand | HPE |
| Capacity | 1.92TB |
Additional Specifications
| Form Factor | 2.5-Inch |
| Interface | NVMe |
| Workload Type | Read Intensive |
Product Description
The HPE P27645-001 is a 1.92TB 2.5-inch solid-state drive designed for read-intensive workloads, leveraging the high-speed NVMe protocol. This drive is engineered to provide exceptional performance for applications that require rapid data retrieval and processing, such as large-scale databases, analytics platforms, and high-traffic web servers. The NVMe interface offers a significant advantage over traditional SATA interfaces by providing lower latency and higher throughput, enabling faster access to data. The 2.5-inch form factor makes this SSD compatible with standard drive bays in HPE ProLiant servers and other enterprise-grade hardware, facilitating easy installation and integration into existing infrastructure. The 1.92TB capacity provides ample storage for demanding applications that handle large datasets, ensuring that performance is not bottlenecked by storage speed. Optimized for read-intensive operations, this drive is built to sustain high levels of read IOPS (Input/Output Operations Per Second) and throughput, making it an excellent choice for scenarios where data is frequently read but less frequently written. This specialization ensures reliability and consistent performance for its intended use cases, contributing to overall system efficiency and responsiveness in data-intensive environments.
