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add some clarification for the ec2 deployment process #524

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merged 3 commits into from
Feb 12, 2025
Merged

add some clarification for the ec2 deployment process #524

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e391e81
add some clarification for ec2 gotchyas
taureandyernv Feb 12, 2025
80c6a19
Linting fixes
jacobtomlinson Feb 12, 2025
c92f5d8
Use note admonition
jacobtomlinson Feb 12, 2025
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8 changes: 6 additions & 2 deletions source/cloud/aws/ec2.md
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Expand Up @@ -13,7 +13,7 @@ NVIDIA maintains an [Amazon Machine Image (AMI) that pre-installs NVIDIA drivers
1. Open the [**EC2 Dashboard**](https://console.aws.amazon.com/ec2/home).
1. Select **Launch Instance**.
1. In the AMI selection box search for "nvidia", then switch to the **AWS Marketplace AMIs** tab.
1. Select **NVIDIA GPU-Optimized AMI**, then select **Subscribe on Instance Launch**.
1. Select **NVIDIA GPU-Optimized AMI** and click "Select". Then, in the new popup, select **Subscribe on Instance Launch**.
1. In **Key pair** select your SSH keys (create these first if you haven't already).
1. Under network settings create a security group (or choose an existing) that allows SSH access on port `22` and also allow ports `8888,8786,8787` to access Jupyter and Dask.
1. Select **Launch**.
Expand All @@ -24,7 +24,11 @@ Next we need to connect to the instance.

1. Open the [**EC2 Dashboard**](https://console.aws.amazon.com/ec2/home).
2. Locate your VM and note the **Public IP Address**.
3. In your terminal run `ssh ubuntu@<ip address>`
3. In your terminal run `ssh ubuntu@<ip address>`.

```{note}
If you use the AWS Console, please use the default `ubuntu` user to ensure the NVIDIA driver installs on the first boot.
```

## Install RAPIDS

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