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Fix version argument (#131)
Signed-off-by: Mike McKiernan <[email protected]>
1 parent da27277 commit 7a44996

14 files changed

+28
-28
lines changed

‎gpu-operator/custom-driver-params.rst‎

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@@ -38,5 +38,5 @@ containing the kernel module parameters.
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$ helm install --wait --generate-name \
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-n gpu-operator --create-namespace \
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nvidia/gpu-operator \
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--set version=${version} \
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--version=${version} \
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--set driver.kernelModuleConfig.name="kernel-module-params"

‎gpu-operator/getting-started.rst‎

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@@ -100,7 +100,7 @@ Procedure
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$ helm install --wait --generate-name \
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-n gpu-operator --create-namespace \
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nvidia/gpu-operator \
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--set version=${version}
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--version=${version}
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- Install the Operator and specify configuration options:
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@@ -109,7 +109,7 @@ Procedure
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$ helm install --wait --generate-name \
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-n gpu-operator --create-namespace \
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nvidia/gpu-operator \
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--set version=${version} \
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--version=${version} \
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--set <option-name>=<option-value>
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Refer to the :ref:`gpu-operator-helm-chart-options`
@@ -295,7 +295,7 @@ For example, to install the GPU Operator in the ``nvidia-gpu-operator`` namespac
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$ helm install --wait --generate-name \
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-n nvidia-gpu-operator --create-namespace \
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nvidia/gpu-operator \
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--set version=${version} \
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--version=${version} \
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If you do not specify a namespace during installation, all GPU Operator components are installed in the ``default`` namespace.
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@@ -333,7 +333,7 @@ In this scenario, use the NVIDIA Container Toolkit image that is built on UBI 8:
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$ helm install --wait --generate-name \
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-n gpu-operator --create-namespace \
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nvidia/gpu-operator \
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--set version=${version} \
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--version=${version} \
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--set toolkit.version=v1.16.1-ubi8
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Replace the ``v1.16.1`` value in the preceding command with the version that is supported
@@ -354,7 +354,7 @@ In this scenario, the NVIDIA GPU driver is already installed on the worker nodes
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$ helm install --wait --generate-name \
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-n gpu-operator --create-namespace \
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nvidia/gpu-operator \
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--set version=${version} \
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--version=${version} \
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--set driver.enabled=false
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The preceding command prevents the Operator from installing the GPU driver on any nodes in the cluster.
@@ -384,7 +384,7 @@ Install the Operator with the following options:
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$ helm install --wait --generate-name \
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-n gpu-operator --create-namespace \
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nvidia/gpu-operator \
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--set version=${version} \
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--version=${version} \
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--set driver.enabled=false \
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--set toolkit.enabled=false
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@@ -407,7 +407,7 @@ In this scenario, the NVIDIA Container Toolkit is already installed on the worke
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$ helm install --wait --generate-name \
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-n gpu-operator --create-namespace \
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nvidia/gpu-operator \
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--set version=${version} \
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--version=${version} \
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--set toolkit.enabled=false
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Running a Custom Driver Image
@@ -436,7 +436,7 @@ you can build a custom driver container image. Follow these steps:
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$ helm install --wait --generate-name \
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-n gpu-operator --create-namespace \
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nvidia/gpu-operator \
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--set version=${version} \
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--version=${version} \
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--set driver.repository=docker.io/nvidia \
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--set driver.version="465.27"
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@@ -474,7 +474,7 @@ If you need to specify custom values, refer to the following sample command for
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helm install gpu-operator -n gpu-operator --create-namespace \
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nvidia/gpu-operator $HELM_OPTIONS \
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--set version=${version} \
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--version=${version} \
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--set toolkit.env[0].name=CONTAINERD_CONFIG \
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--set toolkit.env[0].value=/etc/containerd/config.toml \
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--set toolkit.env[1].name=CONTAINERD_SOCKET \
@@ -547,7 +547,7 @@ These options can be passed to GPU Operator during install time as below.
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helm install gpu-operator -n gpu-operator --create-namespace \
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nvidia/gpu-operator $HELM_OPTIONS \
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--set version=${version} \
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--version=${version} \
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--set toolkit.env[0].name=CONTAINERD_CONFIG \
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--set toolkit.env[0].value=/var/snap/microk8s/current/args/containerd-template.toml \
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--set toolkit.env[1].name=CONTAINERD_SOCKET \

‎gpu-operator/google-gke.rst‎

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@@ -169,7 +169,7 @@ You can create a node pool that uses a Container-Optimized OS node image or a Ub
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$ helm install --wait --generate-name \
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-n gpu-operator \
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nvidia/gpu-operator \
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--set version=${version} \
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--version=${version} \
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--set hostPaths.driverInstallDir=/home/kubernetes/bin/nvidia \
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--set toolkit.installDir=/home/kubernetes/bin/nvidia \
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--set cdi.enabled=true \

‎gpu-operator/gpu-driver-configuration.rst‎

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@@ -277,7 +277,7 @@ Perform the following steps to install the GPU Operator and use the NVIDIA drive
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$ helm install --wait --generate-name \
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-n gpu-operator --create-namespace \
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nvidia/gpu-operator \
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--set version=${version}
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--version=${version}
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--set driver.nvidiaDriverCRD.enabled=true
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By default, Helm configures a ``default`` NVIDIA driver custom resource during installation.

‎gpu-operator/gpu-operator-confidential-containers.rst‎

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@@ -407,7 +407,7 @@ Perform the following steps to install the Operator for use with confidential co
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$ helm install --wait --generate-name \
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-n gpu-operator --create-namespace \
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nvidia/gpu-operator \
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--set version=${version} \
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--version=${version} \
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--set sandboxWorkloads.enabled=true \
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--set kataManager.enabled=true \
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--set ccManager.enabled=true \

‎gpu-operator/gpu-operator-kata.rst‎

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@@ -269,7 +269,7 @@ Perform the following steps to install the Operator for use with Kata Containers
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$ helm install --wait --generate-name \
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-n gpu-operator --create-namespace \
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nvidia/gpu-operator \
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--set version=${version} \
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--version=${version} \
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--set sandboxWorkloads.enabled=true \
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--set kataManager.enabled=true
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‎gpu-operator/gpu-operator-kubevirt.rst‎

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@@ -140,7 +140,7 @@ Install the GPU Operator, enabling ``sandboxWorkloads``:
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$ helm install --wait --generate-name \
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-n gpu-operator --create-namespace \
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nvidia/gpu-operator \
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--set version=${version} \
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--version=${version} \
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--set sandboxWorkloads.enabled=true
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^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
@@ -172,7 +172,7 @@ Install the GPU Operator with ``sandboxWorkloads`` and ``vgpuManager`` enabled a
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$ helm install --wait --generate-name \
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-n gpu-operator --create-namespace \
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nvidia/gpu-operator \
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--set version=${version} \
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--version=${version} \
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--set sandboxWorkloads.enabled=true \
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--set vgpuManager.enabled=true \
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--set vgpuManager.repository=<path to private repository> \

‎gpu-operator/gpu-operator-mig.rst‎

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@@ -57,7 +57,7 @@ Perform the following steps to install the Operator and configure MIG:
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$ helm install --wait --generate-name \
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-n gpu-operator --create-namespace \
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nvidia/gpu-operator \
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--set version=${version} \
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--version=${version} \
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--set mig.strategy=single
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Set ``mig.strategy`` to ``mixed`` when MIG mode is not enabled on all GPUs on a node.
@@ -464,7 +464,7 @@ can be used to install the GPU Operator:
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$ helm install gpu-operator \
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-n gpu-operator --create-namespace \
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nvidia/gpu-operator \
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--set version=${version} \
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--version=${version} \
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--set driver.enabled=false
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@@ -515,7 +515,7 @@ Alternatively, you can create a custom config map for use by MIG Manager by perf
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$ helm install gpu-operator \
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-n gpu-operator --create-namespace \
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nvidia/gpu-operator \
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--set version=${version} \
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--version=${version} \
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--set migManager.gpuClientsConfig.name=gpu-clients
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--set driver.enabled=false
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‎gpu-operator/gpu-operator-rdma.rst‎

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@@ -132,7 +132,7 @@ To use DMA-BUF and network device drivers that are installed by the Network Oper
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$ helm install --wait --generate-name \
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-n gpu-operator --create-namespace \
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nvidia/gpu-operator \
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--set version=${version} \
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--version=${version} \
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--set driver.useOpenKernelModules=true
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To use DMA-BUF and network device drivers that are installed on the host:
@@ -142,7 +142,7 @@ To use DMA-BUF and network device drivers that are installed on the host:
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$ helm install --wait --generate-name \
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-n gpu-operator --create-namespace \
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nvidia/gpu-operator \
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--set version=${version} \
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--version=${version} \
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--set driver.useOpenKernelModules=true \
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--set driver.rdma.useHostMofed=true
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@@ -435,7 +435,7 @@ The following sample command applies to clusters that use the Network Operator t
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$ helm install --wait --generate-name \
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-n gpu-operator --create-namespace \
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nvidia/gpu-operator \
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--set version=${version} \
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--version=${version} \
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--set driver.useOpenKernelModules=true \
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--set gds.enabled=true
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‎gpu-operator/gpu-sharing.rst‎

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@@ -364,7 +364,7 @@ Perform the following steps to configure time-slicing before installing the oper
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$ helm install gpu-operator nvidia/gpu-operator \
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-n gpu-operator \
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--set version=${version} \
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--version=${version} \
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--set devicePlugin.config.name=time-slicing-config
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#. Refer to either :ref:`time-slicing-cluster-wide-config` or

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