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| Product Overview |
|---|
The Dell 068F2 ConnectX-4 VPI Adapter Card combines high-speed InfiniBand and Ethernet connectivity in a single PCIe 3.0 x16 card, designed to fit seamlessly into data center and HPC server configurations. It bridges demanding network protocols to deliver fast, reliable data transfers essential for compute-intensive tasks. |
| General Information | |
|---|---|
| Brand | Dell |
| Part Number | 068F2 |
| Technical Information | |
|---|---|
| Chipset/Controller | Mellanox ConnectX-4 VPI |
| Virtualization Support | SR-IOV, VMDq, VXLAN, NVGRE, Geneve, NetQueue, vNIC |
| Data Rate (Speed) | 100GbE |
| Data Center Bridging | Yes |
| Storage Over Ethernet | iSCSI, FCoE (Fibre Channel over Ethernet) |
| Interface (Bus) | PCIe 3.0 x16 |
| Number of Ports | 2-Port (Dual) |
| OS Compatibility | Windows Server 2022, VMware ESXi 8.0, RHEL, VMware ESXi |
| Network Management | SNMP, NC-SI |
| Offload Support | RDMA, RoCE v2, iSCSI, FCoE, PXE Boot, Wake-on-LAN (WoL), RoCE v1, iWARP, TCP Stateless Offload, Jumbo Frames |
| Bracket Height | Both Brackets Included |
| Connectivity & Physical | |
|---|---|
| Form Factor | Standard PCIe Card |
| Port Type | QSFP28 |
| 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 ConnectX-4 VPI Adapter Card provides high-performance networking with 100 Gigabit per second speeds, supporting both InfiniBand EDR and 100GbE Ethernet protocols. It's commonly used in high-performance computing clusters, data centers, and enterprise servers where fast, reliable interconnects are crucial. Built for IT professionals and network engineers managing demanding workloads, this adapter helps ensure smooth data flow and reduced bottlenecks. It's often found in environments requiring efficient parallel processing and low-latency communication. Key Features
This adapter is typically deployed in server racks within data centers, supporting workloads like scientific simulations, financial modeling, and big data analytics. It plays a vital role in speeding up data exchanges and improving overall system efficiency in complex network setups. |