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| Product Overview |
|---|
The Dell E810-XXVDA4 network adapter provides four 10/25GbE ports using SFP28 connectors and fits into PCI Express 4.0 x16 slots on Dell PowerEdge R660 servers. It is designed to deliver reliable, high-speed connectivity in data centers and enterprise IT setups, fitting the OCP 3.0 form factor for modern server standards. |
| General Information | |
|---|---|
| Brand | Dell |
| Part Number | 540-BDDU |
| Technical Information | |
|---|---|
| Chipset/Controller | Intel E810-XXVDA4 (Intel Ethernet Controller E810) |
| Virtualization Support | SR-IOV, VMDq, VXLAN, NVGRE, Geneve, NetQueue, vNIC |
| Data Rate (Speed) | 25GbE |
| Data Center Bridging | Yes |
| Storage Over Ethernet | iSCSI, NFS, SMB Direct |
| Interface (Bus) | PCIe 4.0 x16 |
| Number of Ports | 4-Port (Quad) |
| OS Compatibility | Windows Server 2022, VMware ESXi 8.0, RHEL, VMware ESXi |
| Network Management | SNMP, RMON, NC-SI, IPMI |
| Offload Support | RDMA, RoCE v2, iSCSI, FCoE, PXE Boot, Wake-on-LAN (WoL), RoCE v1, iWARP, TCP Stateless Offload, Jumbo Frames |
| Connectivity & Physical | |
|---|---|
| Form Factor | OCP 3.0 |
| Port Type | SFP28 |
| Cabling Type | AOC |
| Weight | 5.00 |
| Condition | Refurbished |
| Miscellaneous | |
|---|---|
| Assembly Required | Yes |
| Eco Friendly | Yes |
| Compliance Standards | WEEE, RoHS, cURus, CE, FCC, CCC, UL, TUV, cULus, CSA, cUL |
| Product Description |
|---|
This network adapter delivers high-performance connectivity for servers requiring fast and reliable data transfer. It is often found in data centers or enterprise environments where 10 to 25 Gigabit Ethernet speeds are essential for workloads like virtualization, storage access, and cloud applications. Built for Dell PowerEdge R660 systems, this card provides advanced network capabilities while maintaining efficient resource use. Key Features
Typically deployed in enterprise servers handling high-traffic workloads, this network adapter helps maintain robust and consistent network performance. It's commonly used in environments where minimizing bottlenecks and maximizing throughput is critical. |