deploy: 26de5c8

Author: aojea

docs/user/nvidia-dranet/index.html

@@ -87,7 +87,7 @@
 </code></pre><p>The values.yaml adds some additional tolerations and removes some priorities that need to be done in order to work nicely with GKE.</p><p>Once this is done, you can run</p><div class=highlight><pre tabindex=0 style=background-color:#fff;-moz-tab-size:4;-o-tab-size:4;tab-size:4><code class=language-sh data-lang=sh><span style=display:flex><span>kubectl get pods -n nvidia-dra-driver-gpu
 </span></span><span style=display:flex><span>NAME                                                READY   STATUS     RESTARTS   AGE
 </span></span><span style=display:flex><span>nvidia-dra-driver-gpu-controller-66696889cd-86m8f   1/1     Running    0          13m
-</span></span></code></pre></div><p>If you only see the controller like above, you will need to label the nodes with GPUs on them in order to get the kubelet plugin running.</p><div class=highlight><pre tabindex=0 style=background-color:#fff;-moz-tab-size:4;-o-tab-size:4;tab-size:4><code class=language-sh data-lang=sh><span style=display:flex><span>kubectl label node -l cloud.google.com/gke-nodepool=&lt;nodepool-name&gt; --overwrite nvidia.com/gpu.present=true
+</span></span></code></pre></div><p>If you only see the controller like above, you will need to label the nodes with GPUs on them in order to get the kubelet plugin running.</p><div class=highlight><pre tabindex=0 style=background-color:#fff;-moz-tab-size:4;-o-tab-size:4;tab-size:4><code class=language-sh data-lang=sh><span style=display:flex><span>kubectl label node -l cloud.google.com/gke-gpu=true --overwrite nvidia.com/gpu.present=true
 </span></span><span style=display:flex><span>
 </span></span><span style=display:flex><span>kubectl get pods -n nvidia-dra-driver-gpu
 </span></span><span style=display:flex><span>NAME                                                READY   STATUS     RESTARTS   AGE