With the popularity of running AI workloads on kubernetes, RDMA technology with high network performance and CPU offload features helps save the training time. Only SRIOV, macvlan, and ipvlan technologies can effectively demonstrate RDMA capabilities, but in practice with Nvidia's network-operator, there is many problems,for example, unable to access clusterIP, lacking stable IPAM, and unable to manage the routing of multiple network cards effectively.For simultaneously accommodating the network requirements of both AI and traditional applications, in many practices, it has to implement dual CNIs. This presentation provide a solution to make macvlan and SR-IOV satisfy all needs with single CNI.