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HP R2E09A SN1610Q 32Gb 2-port Fibre Channel Host Bus Adapter
- Dual-port 32Gb Fibre Channel connectivity
- SN1610Q adapter series
- Designed for enterprise SANs
- High-speed data transfer
- Redundant connectivity options
- Reliable storage access
- PCIe interface
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Typically 1-2 handling + 3-7 transit days
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For government, enterprise, data center, and small business customers.
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Product Overview
The HP R2E09A SN1610Q is a 32Gb 2-port Fibre Channel Host Bus Adapter. It provides high-speed connectivity for servers to access storage area networks (SANs), designed for performance and reliability in enterprise environments with dual-port redundancy.
Technical Information
| Product Type | Host Bus Adapter (HBA) |
| Port Type | Fibre Channel |
| Number of Ports | 2 |
Additional Specifications
| Data Transfer Rate | 32Gb |
| Model | SN1610Q |
Product Description
The HP SN1610Q HBA, identified by SKU R2E09A, is a high-performance adapter designed to provide robust dual-port connectivity to Fibre Channel Storage Area Networks (SANs). Featuring two 32Gb Fibre Channel ports, it offers substantial bandwidth and redundancy for demanding enterprise workloads. This adapter is engineered to deliver low latency and high throughput, ensuring efficient data access for critical applications. This host bus adapter utilizes a PCI Express interface for seamless integration into compatible server systems. The 32Gb Fibre Channel speed significantly enhances storage performance, making it suitable for virtualized environments, databases, and other data-intensive applications. The dual-port design provides an option for failover and increased aggregate bandwidth, enhancing the reliability and performance of storage access. The HP R2E09A is built for reliability and performance, providing a stable and efficient link between servers and storage. It is a crucial component for modern data centers seeking to optimize their storage infrastructure and ensure high availability of data resources. Its advanced capabilities contribute to improved application performance and overall operational efficiency.
