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| Product Overview |
|---|
The Dell 540-BDKN is a single-port 32Gb/s Fibre Channel host bus adapter designed to connect servers to SAN environments efficiently. It fits into PCI-Express slots on various Dell servers, enabling high-speed data transfer and low latency communication essential for enterprise storage solutions. |
| General Information | |
|---|---|
| Brand | Dell |
| Part Number | 540-BDKN |
| Technical Information | |
|---|---|
| Protocol | Fibre Channel (FC) |
| Data Rate | 32Gbps |
| Port Count | 1-Port (Single) |
| Bus Interface | PCIe 3.0 x8 |
| Generation | Gen 7 |
| Connector Type | SFP28 (LC) |
| Chipset / Controller | QLogic QLE2770 |
| Network Topology | Point-to-Point, Switched Fabric (N-Port) |
| Bracket Height | Low Profile (Half Height) |
| Advanced Features & Compatibility | |
|---|---|
| Management Features | NPIV Support, Boot from SAN, Selective LUN Masking, Full Fabric Support, Diagnostics (D_Port), VMID Support |
| 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 | Low Profile HBA (Half-height, half-length) |
| Weight | 5.00 |
| Condition | Refurbished |
| Miscellaneous | |
|---|---|
| Eco Friendly | Yes |
| Compliance Standards | WEEE, RoHS, CE, FCC, UL, TUV, cULus |
| Product Description |
|---|
This Dell 32Gb/s Fibre Channel PCI-Express Host Bus Adapter provides a fast and efficient connection to SAN storage systems. It's often found in enterprise data centers where high bandwidth and low latency are critical. Built for use in servers that require rapid access to large volumes of data, it benefits IT professionals managing virtualized environments and large-scale storage deployments. The low-profile design allows easy integration into compact server chassis. Key Features
This adapter is typically deployed in SAN setups within data centers, where fast and reliable storage access is essential. It helps maintain smooth operation of applications that rely on quick data retrieval by minimizing bottlenecks. |