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docs: add region configuration note for SageMaker deployment #2

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10 changes: 10 additions & 0 deletions guides/2_sagemaker.md
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Expand Up @@ -51,6 +51,16 @@ Edit `terraform.tfvars` and set your AWS region (should match your DEFAULT_AWS_R
aws_region = "us-east-1" # Use your DEFAULT_AWS_REGION from .env
```

⚠️ **Important for non-US-East-1 regions**:
If you're deploying to a region other than `us-east-1`, you also need to update the SageMaker image URI in `variables.tf`:

1. Open `terraform/2_sagemaker/variables.tf`
2. On line 9, find the `sagemaker_image_uri` default value
3. Replace `us-east-1` with your region (e.g., `ap-southeast-2`)
4. The line should look like: `"763104351884.dkr.ecr.YOUR-REGION.amazonaws.com/huggingface-pytorch-inference:1.13.1-transformers4.26.0-cpu-py39-ubuntu20.04"`

This is necessary because AWS doesn't allow cross-region ECR image pulls.

## Step 2: Deploy with Terraform

Now let's deploy the SageMaker infrastructure. With the HuggingFace approach, there's no need to prepare model artifacts - the model will be downloaded automatically from HuggingFace Hub!
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