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Alternative Dask-CloudProvider Azure Installation Command #457

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Alternative Dask-CloudProvider Azure Installation Command #457

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1df54c4
deleted $ for multiline commands
melodywang060 Oct 8, 2024
65f77f3
alternative installation command
melodywang060 Oct 9, 2024
9981e82
Update source/cloud/azure/aks.md
melodywang060 Oct 9, 2024
d265aff
Update source/cloud/azure/aks.md
melodywang060 Oct 9, 2024
674722b
implemented suggestions
melodywang060 Oct 9, 2024
1166f93
Merge branch 'azure-vm-multi' of github.com:rapidsai/deployment into …
melodywang060 Oct 9, 2024
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4 changes: 2 additions & 2 deletions source/cloud/azure/aks.md
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Original file line number Diff line number Diff line change
Expand Up @@ -23,7 +23,7 @@ $ az login
Now we can launch a GPU enabled AKS cluster. First launch an AKS cluster.

```console
$ az aks create -g <resource group> -n rapids \
az aks create -g <resource group> -n rapids \
--enable-managed-identity \
--node-count 1 \
--enable-addons monitoring \
Expand Down Expand Up @@ -92,7 +92,7 @@ $ az extension add --name aks-preview
`````

```console
$ az aks nodepool add \
az aks nodepool add \
--resource-group <resource group> \
--cluster-name rapids \
--name gpunp \
Expand Down
2 changes: 1 addition & 1 deletion source/cloud/azure/azure-vm-multi.md
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Expand Up @@ -9,7 +9,7 @@ The easiest way to setup a multi-node, multi-GPU cluster on Azure is to use [Das
Dask Cloud Provider can be installed via `conda` or `pip`. The Azure-specific capabilities will need to be installed via the `[azure]` pip extra.

```shell
$ pip install dask-cloudprovider[azure]
$ pip install 'dask-cloudprovider[azure]'
```

### 2. Configure your Azure Resources
Expand Down