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AzureML detailed instructions #460

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AzureML detailed instructions #460

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1df54c4
deleted $ for multiline commands
melodywang060 Oct 8, 2024
9b7088a
Update source/cloud/azure/aks.md
melodywang060 Oct 9, 2024
f1a8682
Update source/cloud/azure/aks.md
melodywang060 Oct 9, 2024
bcf36bc
Update source/cloud/azure/aks.md
melodywang060 Oct 9, 2024
f54e67b
fixed multiline command issue
melodywang060 Oct 9, 2024
c57b8c3
added more detailed instructions
melodywang060 Oct 10, 2024
55ac4ef
Merge branch 'main' into azureml
melodywang060 Oct 11, 2024
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4 changes: 2 additions & 2 deletions source/_includes/check-gpu-pod-works.md
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@@ -1,7 +1,7 @@
Let's create a sample pod that uses some GPU compute to make sure that everything is working as expected.

```console
$ cat << EOF | kubectl create -f -
```bash
cat << EOF | kubectl create -f -
apiVersion: v1
kind: Pod
metadata:
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8 changes: 4 additions & 4 deletions source/cloud/azure/aks.md
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Expand Up @@ -22,8 +22,8 @@ $ 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 \
```bash
az aks create -g <resource group> -n rapids \
--enable-managed-identity \
--node-count 1 \
--enable-addons monitoring \
Expand Down Expand Up @@ -91,8 +91,8 @@ $ az extension add --name aks-preview

`````

```console
$ az aks nodepool add \
```bash
az aks nodepool add \
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Suggested change
az aks nodepool add \
az aks nodepool add \

--resource-group <resource group> \
--cluster-name rapids \
--name gpunp \
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2 changes: 1 addition & 1 deletion source/cloud/azure/azureml.md
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Expand Up @@ -32,7 +32,7 @@ The compute instance provides an integrated Jupyter notebook service, JupyterLab

Sign in to [Azure Machine Learning Studio](https://ml.azure.com/) and navigate to your workspace on the left-side menu.

Select **Compute** > **+ New** > choose a [RAPIDS compatible GPU](https://medium.com/dropout-analytics/which-gpus-work-with-rapids-ai-f562ef29c75f) VM size (e.g., `Standard_NC12s_v3`)
Select **Compute** > **+ New** (Create compute instance) > choose a [RAPIDS compatible GPU](https://medium.com/dropout-analytics/which-gpus-work-with-rapids-ai-f562ef29c75f) VM size (e.g., `Standard_NC12s_v3`)

![Screenshot of create new notebook with a gpu-instance](../../images/azureml-create-notebook-instance.png)

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