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| Product Overview |
|---|
The F6FXM Dell ConnectX-6 DX is a dual-port 100GbE network adapter designed to provide high-speed connectivity in data centers and enterprise environments. It fits into low-profile PCI Express slots and supports advanced features like RDMA and virtualization offloads, making it suitable for workloads demanding fast and efficient data transfer. |
| General Information | |
|---|---|
| Brand | Dell |
| Part Number | F6FXM |
| Technical Information | |
|---|---|
| Chipset/Controller | Mellanox (NVIDIA) ConnectX-6 Dx |
| Virtualization Support | SR-IOV, VMDq, VXLAN, NVGRE, Geneve, NetQueue, vNIC |
| Data Rate (Speed) | 100GbE |
| Data Center Bridging | Yes |
| Storage Over Ethernet | iSCSI, NFS, SMB Direct |
| Interface (Bus) | PCIe 4.0 x16 |
| Number of Ports | 2-Port (Dual) |
| 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, PXE Boot, RoCE v1, iWARP, TCP Stateless Offload, Jumbo Frames |
| Bracket Height | Both Brackets Included |
| Connectivity & Physical | |
|---|---|
| Form Factor | Standard PCIe Card |
| Port Type | QSFP56 |
| 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 |
|---|
The F6FXM Dell ConnectX-6 DX network adapter delivers two 100GbE QSFP56 ports, providing robust bandwidth for demanding network workloads. It's commonly used in data centers and HPC clusters where high throughput and low latency matter the most. Built for IT professionals managing large-scale network infrastructures, this card handles intensive data exchanges and virtualization tasks with ease. Key Features
This adapter is often installed in enterprise servers and storage systems where efficient data flow is critical. It supports network architectures requiring high throughput and low latency, making it a key component in cloud computing and AI workloads. |