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HP QW972AL StoreFabric SN1000Q 2 x Ports 16Gb/s PCI-Express 3.0 x4 HBA
- 2 x 16Gb/s Fibre Channel Ports
- StoreFabric SN1000Q Series
- PCI-Express 3.0 x4 Interface
- High-speed server-to-storage connectivity
- Enables robust SAN performance
- Supports enterprise-level storage networking
- Dual-port design for redundancy and throughput
- Low latency data access
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Product Overview
The HP QW972AL StoreFabric SN1000Q is a Host Bus Adapter (HBA) featuring two 16Gb/s Fibre Channel ports. It connects servers to storage networks via a PCI-Express 3.0 x4 interface, providing high-speed and reliable access to storage resources.
Technical Information
| Product Type | Host Bus Adapter (HBA) |
| Ports | 2 x 16Gb/s Fibre Channel |
| Interface | PCI-Express 3.0 x4 |
Additional Specifications
| Series | StoreFabric SN1000Q |
| Data Transfer Rate | 16Gb/s per port |
Product Description
The HP QW972AL, part of the StoreFabric SN1000Q series, is a high-performance Host Bus Adapter (HBA) designed to facilitate robust and efficient connectivity between servers and storage area networks (SANs). This HBA is equipped with two Fibre Channel ports, each capable of operating at a blazing 16Gb/s, ensuring high throughput and low latency for critical storage operations. Utilizing the PCI-Express 3.0 x4 interface, the QW972AL provides ample bandwidth to support demanding I/O workloads. The dual-port configuration offers enhanced reliability through redundancy and allows for increased aggregate bandwidth, crucial for environments where storage performance is paramount. This HBA is engineered to meet the rigorous demands of enterprise data centers, supporting virtualization, high-performance computing, and mission-critical applications. By leveraging the SN1000Q HBA, IT administrators can ensure seamless and rapid access to storage resources, optimizing application performance and data availability. Its advanced features and high-speed capabilities make it an essential component for building scalable and resilient storage infrastructures, enabling businesses to manage their data effectively and efficiently.

