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#Nvidia network driver how to
#Nvidia network driver install
#Nvidia network driver drivers

Since Helm doesn’t support auto-upgrade of existing CRDs, the user needs to followĪ two-step process to upgrade the network-operator release: NOTE: Upgrade capabilities are limited now.Īdditional manual actions required when containerized OFED driver is usedīefore starting the upgrade to a specific release version, please,Ĭheck release notes for this version to ensure that no additional actions are required. In case of a test failed it is possible to collect the logs with kubectl logs -n.Tests should be executed after NicClusterPolicy custom resource state is Ready.Default PF to run test is ens2f0 to override it add -set test.pf= to helm install/upgrade.Test will keeping running endlessly if pod creating failed so it is recommended to use -timeout which fails test after exceeding given timeout.$ helm test -n network-operator network-operator -timeout=5m

#Nvidia network driver install

Helm provides an install script to copy helm binary to your system:

NVIDIA GPU and driver supporting GPUDirect e.g Quadro RTX 6000/8000 or Tesla T4 or Tesla V100 or Tesla V100.RDMA capable hardware: Mellanox ConnectX-5 NIC or newer.

#Nvidia network driver how to

This is enabled via sriovNetworkOperator.enabled chart parameter.įor more information on how to configure SR-IOV in your Kubernetes cluster using SR-IOV Network Operator We provide a helm chart to be used to optionallyĭeploy SR-IOV Network Operator in the cluster. To enable SR-IOV workloads in a Kubernetes cluster. Nvidia Network Operator can operate in unison with SR-IOV Network Operator This is enabled via nfd.enabled chart parameter. Optionally deploy Node Feature Discovery in the cluster. To allow zero touch deployment of the Operator we provide a helm chart to be used to Node Feature Discovery to perform the labeling. This can be achieved by either manually labeling Kubernetes nodes or using Nvidia Network Operator relies on the existance of specific node labels to operate properly.Į.g label a node as having Nvidia networking hardware available. Additional components Node Feature Discovery

Kubernetes secondary network for Network intensive workloadsįor more information please visit the official documentation.

Kubernetes device plugins to provide hardware resources for fast network.

#Nvidia network driver drivers

Mellanox Networking drivers to enable advanced features.

RDMA and GPUDirect RDMA workloads in a kubernetes cluster including: The Goal of Network Operator is to manage all networking related components to enable execution of Network Operator works in conjunction with GPU-Operator to enable GPU-Direct RDMA RDMA and GPUDirect for workloads in a Kubernetes cluster.

Nvidia Network Operator leverages Kubernetes CRDsĪnd Operator SDK to manage Networking related Components in order to enable Fast networking, The lifecycle of Nvidia Mellanox network operator. Nvidia Network Operator Helm Chart provides an easy way to install, configure and manage Network-operator Nvidia Network Operator Helm Chart