# AWS Deep Learning OSS AMI GPU PyTorch 2.13 (Amazon Linux 2023)
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**Note**  
For detailed software package information, see the individual release notes pages linked below.

For help getting started, see [Getting started with DLAMI](getting-started.md).

##### Notices
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+  Starting with PyTorch 2.9, CUDA and related libraries are located in the PyTorch virtual environment at `/opt/pytorch/cuda` instead of at the system level. This change reduces the image size while maintaining full CUDA functionality. To use CUDA, activate the PyTorch virtual environment using `source /opt/pytorch/bin/activate`. 

##### AMI Name Format
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+ Deep Learning OSS Nvidia Driver AMI GPU PyTorch 2.13 (Amazon Linux 2023) ${YYYY-MM-DD}

##### SSM Parameter Query
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 **Use the following Public SSM Parameter Query to find the latest DLAMI: ** 

```
export SSM_PARAMETER=oss-nvidia-driver-gpu-pytorch-2.13-amazon-linux-2023/latest/ami-id && \
        aws ssm get-parameter --region {{us-east-1}} \
        --name /aws/service/deeplearning/ami/x86_64/$SSM_PARAMETER \
        --query "Parameter.Value" \
        --output text
```

##### AWS CLI query
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 **Use the following AWS CLI query to find the latest DLAMI: ** 

```
aws ec2 describe-images --region {{us-east-1}} --owners amazon --filters 'Name=name,Values=Deep Learning OSS Nvidia Driver AMI GPU PyTorch 2.13 (Amazon Linux 2023) ????????' 'Name=state,Values=available' --query 'reverse(sort_by(Images, &CreationDate))[:1].ImageId' --output text
```

##### Latest releases
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**Topics**
+ [Deep Learning OSS Nvidia Driver AMI GPU PyTorch 2.13 (Amazon Linux 2023) 20260815](aws-deep-learning-ami-gpupt213oss-al2023-2026-08-19.md)