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| Product Overview |
|---|
The BK3210407 QLogic 2692 2-Port 16Gb Fibre Channel Host Bus Adapter connects servers to storage networks through two high-speed Fibre Channel ports. It plays a crucial role in environments where fast and stable data access is necessary, fitting seamlessly into PCIe slots to enhance server storage capabilities without unnecessary complexity. |
| General Information | |
|---|---|
| Brand | QLogic |
| Part Number | BK3210407 |
| Technical Information | |
|---|---|
| Protocol | Fibre Channel (FC) |
| Data Rate | 16Gbps |
| Port Count | 2-Port (Dual) |
| Bus Interface | PCIe 3.0 x8 |
| Generation | Gen 6 |
| Connector Type | SFP+ (LC) |
| Chipset / Controller | QLogic (QLE2692) |
| Network Topology | Point-to-Point, Switched Fabric (N-Port), Arbitrated Loop |
| Bracket Height | Both Brackets Included |
| Advanced Features & Compatibility | |
|---|---|
| Management Features | NPIV Support, Boot from SAN, Selective LUN Masking, Full Fabric Support, Diagnostics (D_Port) |
| OS Compatibility | Windows Server 2019, Windows Server 2022, VMware ESXi 7.x, VMware ESXi 8.x, RHEL 8, RHEL 9, SLES 15, Solaris, AIX |
| Physical Characteristics | |
|---|---|
| Form Factor | PCIe Half-Height (Low Profile) / Full-Height (Standard) |
| Weight | 3.00 |
| Condition | Refurbished |
| Miscellaneous | |
|---|---|
| Compliance Standards | WEEE, RoHS, CE, FCC, UL |
| Product Description |
|---|
The QLogic 2692 2-Port 16Gb Fibre Channel Host Bus Adapter is designed to provide reliable and fast connections between servers and storage area networks (SANs). Often found in data centers and enterprise storage setups, it ensures smooth data flow for applications requiring high bandwidth. Built for IT professionals managing critical storage infrastructures, this adapter balances performance with compatibility. It's commonly used in environments that demand low latency and high throughput, such as virtualization and database servers. Key Features
This adapter typically appears in enterprise SANs, linking servers to storage arrays efficiently. It helps maintain consistent performance and reduces bottlenecks, making it a reliable choice for managing large-scale data workloads. |