DOCA Platform Framework (DPF) Documentation

DPU Passthrough in DPF Zero Trust

Follow this guide from the source GitHub repo at github.com/NVIDIA/doca-platform and moving to the docs/public/user-guides/zero-trust/use-cases/passthrough/README.md for better formatting of the code.

This configuration provides instructions for deploying the NVIDIA DOCA Platform Framework (DPF) on high-performance, bare-metal infrastructure in Zero Trust mode, utilizing DPU BMC and Redfish. It focuses on provisioning NVIDIA® BlueField®-3 DPUs using DPF and enabling them to act as passthrough devices.

Prerequisites

This guide should be run by cloning the repo from github.com/NVIDIA/doca-platform and moving to the docs/public/user-guides/zero-trust/use-cases/passthrough directory.

The system is set up as described in the prerequisites.

Software Prerequisites

The following tools must be installed on the machine where the commands contained in this guide run:

  • kubectl

  • helm

  • envsubst

Installation Guide

0. Required Variables

The following variables are required by this guide. A sensible default is provided where it makes sense, but many will be specific to the target infrastructure.

Commands in this guide are run in the same directory that contains this readme.


Environment variables file


## IP Address for the Kubernetes API server of the target cluster on which DPF is installed.
## This should never include a scheme or a port.
## e.g. 10.10.10.10
export TARGETCLUSTER_API_SERVER_HOST=

## Virtual IP used by the load balancer for the DPU Cluster. Must be a reserved IP from the management subnet and not
## allocated by DHCP.
export DPUCLUSTER_VIP=

## Interface on which the DPUCluster load balancer will listen. Should be the management interface of the control plane
## node.
export DPUCLUSTER_INTERFACE=

## IP address to the NFS server used as storage for the BFB.
export NFS_SERVER_IP=

## The DPF REGISTRY is the Helm repository URL where the DPF Operator Chart resides.
## Usually this is the NVIDIA Helm NGC registry. For development purposes, this can be set to a different repository.
export REGISTRY=https://helm.ngc.nvidia.com/nvidia/doca

## The DPF TAG is the version of the DPF components which will be deployed in this guide.
export TAG=v25.10.1

## URL to the BFB used in the `bfb.yaml` and linked by the DPUSet.
export BFB_URL="https://content.mellanox.com/BlueField/BFBs/Ubuntu24.04/bf-bundle-3.2.1-34_25.11_ubuntu-24.04_64k_prod.bfb"

## IP_RANGE_START and IP_RANGE_END
## These define the IP range for DPU discovery via Redfish/BMC interfaces
## Example: If your DPUs have BMC IPs in range 192.168.1.100-110
## export IP_RANGE_START=192.168.1.100
## export IP_RANGE_END=192.168.1.110
export IP_RANGE_START=

export IP_RANGE_END=

# The password used for DPU BMC root login, must be the same for all DPUs
export BMC_ROOT_PASSWORD=

Modify the variables in manifests/00-env-vars/envvars.env to fit your environment, then source the file:

source manifests/00-env-vars/envvars.env

1. DPF Operator Installation

Create storage required by the DPF Operator

A number of environment variables must be set before running this command.

kubectl create ns dpf-operator-system
cat manifests/01-dpf-operator-installation/*.yaml | envsubst | kubectl apply -f -

This deploys the following objects:


PersistentVolume and PersistentVolumeClaim for the provisioning controller


YAML
---
apiVersion: v1
kind: PersistentVolume
metadata:
  name: bfb-pv
spec:
  capacity:
    storage: 10Gi
  volumeMode: Filesystem
  accessModes:
    - ReadWriteMany
  nfs:
    path: /mnt/dpf_share/bfb
    server: $NFS_SERVER_IP
  persistentVolumeReclaimPolicy: Delete
---
apiVersion: v1
kind: PersistentVolumeClaim
metadata:
  name: bfb-pvc
  namespace: dpf-operator-system
spec:
  accessModes:
  - ReadWriteMany
  resources:
    requests:
      storage: 10Gi
  volumeMode: Filesystem
  storageClassName: ""

Create DPU BMC shared password secret

In Zero Trust mode, provisioning DPUs requires authentication with Redfish. In order to do that, you must set the same root password to access the BMC for all DPUs DPF is going to manage.

For more information on how to set the BMC root password refer to BlueField DPU Administrator Quick Start Guide

The password is provided to DPF by creating the following secret:

kubectl create secret generic -n dpf-operator-system bmc-shared-password --from-literal=password=$BMC_ROOT_PASSWORD

Additional Dependencies

Before deploying the DPF Operator, ensure that Helm is properly configured according to the Helm prerequisites.

This is a critical prerequisite step that must be completed for the DPF Operator to function properly.

Deploy the DPF Operator

A number of environment variables must be set before running this command.

HTTP Registry (default)

If the $REGISTRY is an HTTP Registry (default value) use this command:

helm repo add --force-update dpf-repository ${REGISTRY}
helm repo update
helm upgrade --install -n dpf-operator-system dpf-operator dpf-repository/dpf-operator --version=$TAG

OCI Registry

For development purposes, if the $REGISTRY is an OCI Registry use this command:

helm upgrade --install -n dpf-operator-system dpf-operator $REGISTRY/dpf-operator --version=$TAG

Verification

These verification commands may need to be run multiple times to ensure the condition is met.

Verify the DPF Operator installation with:

## Ensure the DPF Operator deployment is available.
kubectl rollout status deployment --namespace dpf-operator-system dpf-operator-controller-manager
## Ensure all pods in the DPF Operator system are ready.
kubectl wait --for=condition=ready --namespace dpf-operator-system pods --all

2. DPF System Installation

This section involves creating the DPF system components and some basic infrastructure required for a functioning DPF-enabled cluster.

Deploy the DPF System components

A number of environment variables must be set before running this command.

kubectl create ns dpu-cplane-tenant1
cat manifests/02-dpf-system-installation/*.yaml | envsubst | kubectl apply -f -

This will create the following objects:


DPFOperatorConfig to install the DPF System components


YAML
---
apiVersion: operator.dpu.nvidia.com/v1alpha1
kind: DPFOperatorConfig
metadata:
  name: dpfoperatorconfig
  namespace: dpf-operator-system
spec:
  dpuDetector:
    disable: true
  provisioningController:
    bfbPVCName: "bfb-pvc"
    dmsTimeout: 900
    installInterface:
      installViaRedfish:
        # Set this to the IP of one of your control plane nodes + 8080 port
        bfbRegistryAddress: "$TARGETCLUSTER_API_SERVER_HOST:8080"
        skipDPUNodeDiscovery: false
  kamajiClusterManager:
    disable: false


DPUCluster to serve as Kubernetes control plane for DPU nodes


YAML
---
apiVersion: provisioning.dpu.nvidia.com/v1alpha1
kind: DPUCluster
metadata:
  name: dpu-cplane-tenant1
  namespace: dpu-cplane-tenant1
spec:
  type: kamaji
  maxNodes: 10
  clusterEndpoint:
    # deploy keepalived instances on the nodes that match the given nodeSelector.
    keepalived:
      # interface on which keepalived will listen. Should be the oob interface of the control plane node.
      interface: $DPUCLUSTER_INTERFACE
      # Virtual IP reserved for the DPU Cluster load balancer. Must not be allocatable by DHCP.
      vip: $DPUCLUSTER_VIP
      # virtualRouterID must be in range [1,255], make sure the given virtualRouterID does not duplicate with any existing keepalived process running on the host
      virtualRouterID: 126
      nodeSelector:
        node-role.kubernetes.io/control-plane: ""


DPUDiscovery to discover DPUDevices or DPUNodes


YAML
---
apiVersion: provisioning.dpu.nvidia.com/v1alpha1
kind: DPUDiscovery
metadata:
  name: dpu-discovery
  namespace: dpf-operator-system
spec:
  ipRangeSpec:
    ipRange:
      startIP: $IP_RANGE_START
      endIP: $IP_RANGE_END

Verification

These verification commands may need to be run multiple times to ensure the condition is met.

Verify the DPF System with:

## Ensure the provisioning and DPUService controller manager deployments are available.
kubectl rollout status deployment --namespace dpf-operator-system dpf-provisioning-controller-manager dpuservice-controller-manager
## Ensure all other deployments in the DPF Operator system are Available.
kubectl rollout status deployment --namespace dpf-operator-system
## Ensure bfb registry daemonset is available
kubectl rollout status daemonset --namespace dpf-operator-system bfb-registry
## Ensure the DPUCluster is ready for nodes to join.
kubectl wait --for=condition=ready --namespace dpu-cplane-tenant1 dpucluster --all

3. DPU Provisioning and Interface Plumbing

In case more than 1 DPU exists per node, the relevant selector should be applied in the DPUSet to select the appropriate DPU. See DPUSet - DPU Selection to understand more about the selectors.

In this step we provision our DPUs and we do the nessecary interface plumbing to enable the DPU to act as a passthrough device.

The user is expected to create a DPUSet object to provision the DPUs and a DPUServiceChain to enable the nessecary connectivity between the host and DPU interfaces.

Check the DPUSet documentation and DPUServiceChain documentation for more information about these objects.

Create the BFB, DPUSet and DPUServiceChain

A number of environment variables must be set before running this command.

cat manifests/03-dpf-object-installation/*.yaml | envsubst | kubectl apply -f -

This will deploy the following objects:


BFB to download the BFB to a shared volume


YAML
---
apiVersion: provisioning.dpu.nvidia.com/v1alpha1
kind: BFB
metadata:
  name: bf-bundle-$TAG
  namespace: dpf-operator-system
spec:
  url: $BFB_URL


DPUFlavor used for provisioning the DPUs


YAML
---
apiVersion: provisioning.dpu.nvidia.com/v1alpha1
kind: DPUFlavor
metadata:
  name: passthrough-$TAG
  namespace: dpf-operator-system
spec:
  dpuMode: zero-trust
  grub:
    kernelParameters:
    - console=hvc0
    - console=ttyAMA0
    - earlycon=pl011,0x13010000
    - fixrttc
    - net.ifnames=0
    - biosdevname=0
    - iommu.passthrough=1
    - cgroup_no_v1=net_prio,net_cls
    - hugepagesz=2048kB
    - hugepages=3072
  nvconfig:
  - device: "*"
    parameters:
    - PF_BAR2_ENABLE=0
    - PER_PF_NUM_SF=1
    - PF_TOTAL_SF=20
    - PF_SF_BAR_SIZE=10
    - NUM_PF_MSIX_VALID=0
    - PF_NUM_PF_MSIX_VALID=1
    - PF_NUM_PF_MSIX=228
    - INTERNAL_CPU_MODEL=1
    - INTERNAL_CPU_OFFLOAD_ENGINE=0
    - SRIOV_EN=1
    - NUM_OF_VFS=46
    - LAG_RESOURCE_ALLOCATION=1
    - LINK_TYPE_P1=ETH
    - LINK_TYPE_P2=ETH
  ovs:
    rawConfigScript: |
      _ovs-vsctl() {
        ovs-vsctl --no-wait --timeout 15 "$@"
      }

      _ovs-vsctl set Open_vSwitch . other_config:doca-init=true
      _ovs-vsctl set Open_vSwitch . other_config:dpdk-max-memzones=50000
      _ovs-vsctl set Open_vSwitch . other_config:hw-offload=true
      _ovs-vsctl set Open_vSwitch . other_config:pmd-quiet-idle=true
      _ovs-vsctl set Open_vSwitch . other_config:max-idle=20000
      _ovs-vsctl set Open_vSwitch . other_config:max-revalidator=5000
      _ovs-vsctl set Open_vSwitch . other_config:ctl-pipe-size=1024
      _ovs-vsctl --if-exists del-br ovsbr1
      _ovs-vsctl --if-exists del-br ovsbr2
      _ovs-vsctl --may-exist add-br br-sfc
      _ovs-vsctl set bridge br-sfc datapath_type=netdev
      _ovs-vsctl set bridge br-sfc fail_mode=secure
      _ovs-vsctl --may-exist add-port br-sfc p0
      _ovs-vsctl set Interface p0 type=dpdk
      _ovs-vsctl set Interface p0 mtu_request=9216
      _ovs-vsctl set Port p0 external_ids:dpf-type=physical

  bfcfgParameters:
  - UPDATE_ATF_UEFI=yes
  - UPDATE_DPU_OS=yes
  - WITH_NIC_FW_UPDATE=yes

  configFiles:
  - path: /etc/mellanox/mlnx-bf.conf
    operation: override
    raw: |
        ALLOW_SHARED_RQ="no"
        IPSEC_FULL_OFFLOAD="no"
        ENABLE_ESWITCH_MULTIPORT="yes"
    permissions: "0644"
  - path: /etc/mellanox/mlnx-ovs.conf
    operation: override
    raw: |
        CREATE_OVS_BRIDGES="no"
        OVS_DOCA="yes"
    permissions: "0644"
  - path: /etc/mellanox/mlnx-sf.conf
    operation: override
    raw: ""
    permissions: "0644"


DPUSet to provision DPUs on worker nodes


YAML
---
apiVersion: provisioning.dpu.nvidia.com/v1alpha1
kind: DPUSet
metadata:
  name: passthrough
  namespace: dpf-operator-system
spec:
  dpuNodeSelector:
    matchLabels:
      feature.node.kubernetes.io/dpu-enabled: "true"
  dpuTemplate:
    spec:
      dpuFlavor: passthrough-$TAG
      bfb:
        name: bf-bundle-$TAG
      nodeEffect:
        noEffect: true


DPUServiceInterfaces used by the DPUServiceChain


YAML
---
apiVersion: svc.dpu.nvidia.com/v1alpha1
kind: DPUServiceInterface
metadata:
  name: p0
  namespace: dpf-operator-system
spec:
  template:
    spec:
      template:
        metadata:
          labels:
            interface: "p0"
        spec:
          interfaceType: physical
          physical:
            interfaceName: p0
---
apiVersion: svc.dpu.nvidia.com/v1alpha1
kind: DPUServiceInterface
metadata:
  name: p1
  namespace: dpf-operator-system
spec:
  template:
    spec:
      template:
        metadata:
          labels:
            interface: "p1"
        spec:
          interfaceType: physical
          physical:
            interfaceName: p1
---
apiVersion: svc.dpu.nvidia.com/v1alpha1
kind: DPUServiceInterface
metadata:
  name: pf0hpf
  namespace: dpf-operator-system
spec:
  template:
    spec:
      template:
        metadata:
          labels:
            interface: "pf0hpf"
        spec:
          interfaceType: pf
          pf:
            pfID: 0
---
apiVersion: svc.dpu.nvidia.com/v1alpha1
kind: DPUServiceInterface
metadata:
  name: pf1hpf
  namespace: dpf-operator-system
spec:
  template:
    spec:
      template:
        metadata:
          labels:
            interface: "pf1hpf"
        spec:
          interfaceType: pf
          pf:
            pfID: 1


DPUServiceChain to make the device act as passthrough device


YAML
---
apiVersion: svc.dpu.nvidia.com/v1alpha1
kind: DPUServiceChain
metadata:
  name: passthrough
  namespace: dpf-operator-system
spec:
  template:
    spec:
      template:
        spec:
          switches:
            - ports:
              - serviceInterface:
                  matchLabels:
                    interface: p0
              - serviceInterface:
                  matchLabels:
                    interface: pf0hpf
            - ports:
              - serviceInterface:
                  matchLabels:
                    interface: p1
              - serviceInterface:
                  matchLabels:
                    interface: pf1hpf

Verification

The following verification commands may need to be run multiple times to ensure the condition is met.

## Ensure the DPUServiceChain is ready 
kubectl wait --for=condition=ready --namespace dpf-operator-system dpuservicechain passthrough
## Ensure the DPUServiceInterfaces are ready
kubectl wait --for=condition=ready --namespace dpf-operator-system dpuserviceinterface p0 p1 pf0hpf pf1hpf
## Ensure the BFB is ready
kubectl wait --for="jsonpath={.status.phase}=Ready" --namespace dpf-operator-system bfb bf-bundle
## Ensure the DPUs have the condition Initialized (this may take time)
kubectl wait --for=condition=Initialized --namespace dpf-operator-system dpu --all

or with dpfctl:

$ kubectl -n dpf-operator-system exec deploy/dpf-operator-controller-manager -- /dpfctl describe dpusets
NAME                                            NAMESPACE            STATUS       REASON         SINCE  MESSAGE
DPFOperatorConfig/dpfoperatorconfig             dpf-operator-system  Ready: True  Success        24m
├─DPUServiceChains
│ └─DPUServiceChain/passthrough                 dpf-operator-system  Ready: True  Success        7s
├─DPUServiceInterfaces
│ └─4 DPUServiceInterfaces...                   dpf-operator-system  Ready: True  Success        78m    See p0, p1, pf0hpf, pf1hpf
└─DPUSets
  └─DPUSet/passthrough                          dpf-operator-system
    ├─BFB/bf-bundle                             dpf-operator-system  Ready: True  Ready          78m    File: bf-bundle-3.2.1-34_25.11_ubuntu-24.04_64k_prod.bfb, DOCA: 3.2.1
    └─DPUs
      ├─DPU/dpu-node-mt2402xz0f6v-mt2402xz0f6v  dpf-operator-system
      │             └─Ready                                          False        OS Installing  1s
      └─DPU/dpu-node-mt2404xz0c98-mt2404xz0c98  dpf-operator-system
                    └─Ready                                          False        OS Installing  1s

Making the DPUs Ready

In order to make the DPUs ready, we will need to manually power cycle the host. This operation should be done in the most graceful manner by gracefully shutting down the Host and DPU, powering off the server and then powering it on to avoid corruption. This should happen when the object gives us the signal. The described flow can be automated by the admin depending on the infrastructure.

The following verification command may need to be run multiple times to ensure the condition is met.

## Ensure the DPUs have the condition WaitingForManualPowerCycleOrReboot (this may take time)
kubectl wait --for=condition=WaitingForManualPowerCycleOrReboot --namespace dpf-operator-system dpu --all

or with dpfctl:

$ kubectl -n dpf-operator-system exec deploy/dpf-operator-controller-manager -- /dpfctl describe dpusets
NAME                                            NAMESPACE            STATUS       REASON                              SINCE  MESSAGE
DPFOperatorConfig/dpfoperatorconfig             dpf-operator-system
│           ├─Ready                                                  False        Pending                             36m    The following conditions are not ready:
│           │                                                                                                                * SystemComponentsReady
│           └─SystemComponentsReady                                  False        Error                               35m    System components must be ready for DPF Operator to continue:
│                                                                                                                              * nvidia-k8s-ipam: DPUService dpf-operator-system/nvidia-k8s-ipam is not ready
├─DPUServiceChains
│ └─DPUServiceChain/passthrough                 dpf-operator-system  Ready: True  Success                             34m
├─DPUServiceInterfaces
│ └─4 DPUServiceInterfaces...                   dpf-operator-system  Ready: True  Success                             34m    See p0, p1, pf0hpf, pf1hpf
└─DPUSets
  └─DPUSet/passthrough                          dpf-operator-system
    ├─BFB/bf-bundle                             dpf-operator-system  Ready: True  Ready                               34m    File: bf-bundle-3.2.1-34_25.11_ubuntu-24.04_64k_prod.bfb, DOCA: 3.2.1
    └─DPUs
      ├─DPU/dpu-node-mt2402xz0f6v-mt2402xz0f6v  dpf-operator-system
      │             ├─Rebooted                                       False        WaitingForManualPowerCycleOrReboot  12m
      │             └─Ready                                          False        Rebooting                           12m
      └─DPU/dpu-node-mt2404xz0c98-mt2404xz0c98  dpf-operator-system
                    ├─Rebooted                                       False        WaitingForManualPowerCycleOrReboot  10m
                    └─Ready                                          False        Rebooting                           10m

At this point, we have to power cycle the hosts. Once all the hosts are back online, we have to remove an annotation from the DPUNodes. The user can choose to remove this annotation node by node but to make it simpler in this guide, we do that all at once.

kubectl annotate dpunodes -n dpf-operator-system --all provisioning.dpu.nvidia.com/dpunode-external-reboot-required-

After this is done, we should expect that all DPUs become Ready:

kubectl wait --for="jsonpath={.status.phase}=Ready" --namespace dpf-operator-system dpu --all

or with dpfctl:

$ kubectl -n dpf-operator-system exec deploy/dpf-operator-controller-manager -- /dpfctl describe dpusets
NAME                                 NAMESPACE            STATUS       REASON    SINCE  MESSAGE
DPFOperatorConfig/dpfoperatorconfig  dpf-operator-system  Ready: True  Success   42s
├─DPUServiceChains
│ └─DPUServiceChain/passthrough      dpf-operator-system  Ready: True  Success   54m
├─DPUServiceInterfaces
│ └─4 DPUServiceInterfaces...        dpf-operator-system  Ready: True  Success   54m    See p0, p1, pf0hpf, pf1hpf
└─DPUSets
  └─DPUSet/passthrough               dpf-operator-system
    ├─BFB/bf-bundle                  dpf-operator-system  Ready: True  Ready     54m    File: bf-bundle-3.2.1-34_25.11_ubuntu-24.04_64k_prod.bfb, DOCA: 3.2.1
    └─DPUs
      └─2 DPUs...                    dpf-operator-system  Ready: True  DPUReady  2m33s  See dpu-node-mt2402xz0f6v-mt2402xz0f6v, dpu-node-mt2404xz0c98-mt2404xz0c98

Test Traffic

After the DPUs are provisioned and the rest of the objects are Ready, we can test traffic by assigning an IP on one of the PFs on the host for each DPU, and run a simple ping. This assumes that the high speed ports of the DPUs are connected and the DPUs can reach each other. Assuming the pf is named ens5f0np0 then:

Host 1:

ip link set dev ens5f0np0 up
ip addr add 192.168.1.1/24 dev ens5f0np0

Host 2:

ip link set dev ens5f0np0 up
ip addr add 192.168.1.2/24 dev ens5f0np0

From Host 1:

$ ping 192.168.1.2 -c3
PING 192.168.1.2 (192.168.1.2) 56(84) bytes of data.
64 bytes from 192.168.1.2: icmp_seq=1 ttl=64 time=0.387 ms
64 bytes from 192.168.1.2: icmp_seq=2 ttl=64 time=0.344 ms
64 bytes from 192.168.1.2: icmp_seq=3 ttl=64 time=0.396 ms

--- 192.168.1.2 ping statistics ---
3 packets transmitted, 3 received, 0% packet loss, time 2053ms
rtt min/avg/max/mdev = 0.344/0.375/0.396/0.022 ms

Uninstall

This section covers only the DPF related components and not the prerequisites as these must be managed by the admin.

Delete the DPF Operator system and DPF Operator

kubectl delete -n dpf-operator-system dpfoperatorconfig dpfoperatorconfig --wait
helm uninstall -n dpf-operator-system dpf-operator --wait

Delete DPF Operator PVC

kubectl -n dpf-operator-system delete pvc bfb-pvc
kubectl delete pv bfb-pv

Note: there can be a race condition with deleting the underlying Kamaji cluster which runs the DPU cluster control plane in this guide. If that happens it may be necessary to remove finalizers manually from DPUCluster and Datastore objects.

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