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IBM 25R8070 SAS 3Gb/s PCI Express x8 Host Bus Adapter
- Type: SAS Host Bus Adapter (HBA)
- Interface: PCI Express (PCIe) x8
- SAS Speed: 3Gb/s
- Connects servers to SAS storage arrays.
- Provides high-speed data transfer for storage.
- Designed for enterprise server environments.
- Supports multiple SAS devices.
- Reliable connectivity for storage solutions.
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Product Overview
IBM 25R8070 is a SAS Host Bus Adapter (HBA) that connects servers to SAS storage devices. It features a PCI Express x8 interface and supports SAS 3Gb/s data transfer rates.
Technical Information
| Product Type | Host Bus Adapter (HBA) |
| Interface | PCI Express x8 |
| SAS Speed | 3Gb/s |
Additional Specifications
| Brand | IBM |
| Part Number | 25R8070 |
| Technology | SAS |
Product Description
The IBM 25R8070 is a SAS (Serial Attached SCSI) Host Bus Adapter (HBA) designed to provide a high-performance connection between a server and SAS storage devices. This adapter utilizes the PCI Express (PCIe) x8 interface, offering significant bandwidth to support demanding storage I/O operations. The 3Gb/s SAS speed ensures efficient data transfer rates, making it suitable for a wide range of enterprise storage applications, including direct-attached storage and storage area networks (SANs). This HBA is crucial for servers that require reliable and fast access to SAS hard drives or SSDs. It enables the server's operating system to communicate seamlessly with the storage subsystem, managing data flow and ensuring data integrity. The PCIe x8 interface provides ample throughput to prevent bottlenecks, allowing multiple SAS devices to operate at their full potential without performance degradation. The IBM 25R8070 is built for the reliability and scalability demanded by enterprise environments. It facilitates the expansion of storage capacity and performance, supporting critical business applications that rely on fast and dependable data access. Its robust design ensures consistent operation, making it a key component for servers hosting databases, virtualization platforms, or other data-intensive workloads.



