

# Release Notes Archive
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##### Release Date: 2025-02-17
<a name="2025-02-17-arm64-ami-gpu-pytorch-2.5-ubuntu-22-04"></a>

**AMI name**: Deep Learning ARM64 AMI OSS Nvidia Driver GPU PyTorch 2.5.1 (Ubuntu 22.04) 20250215

##### Updated
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+ Updated NVIDIA Container Toolkit from version 1.17.3 to version 1.17.4
  + Please see the release notes page here for more information: [https://github.com/NVIDIA/nvidia-container-toolkit/releases/tag/v1.17.4](https://github.com/NVIDIA/nvidia-container-toolkit/releases/tag/v1.17.4)
  + In Container Toolkit version 1.17.4, the mounting of CUDA compat libraries is now disabled. In order to ensure compatibility with multiple CUDA versions on container workflows, please ensure you update your LD\$1LIBRARY\$1PATH to include your CUDA compatibility libraries as shown in the [If you use a CUDA compatibility layer](https://docs.aws.amazon.com/sagemaker/latest/dg/inference-gpu-drivers.html#collapsible-cuda-compat) tutorial.

##### Removed
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+ Removed user space libraries cuobj and nvdisasm provided by [NVIDIA CUDA toolkit](https://docs.nvidia.com/cuda/) to address CVEs present in the [ NVIDIA CUDA Toolkit Security Bulletin for February 18, 2025](https://nvidia.custhelp.com/app/answers/detail/a_id/5594)

##### Release Date: 2025-01-21
<a name="2025-01-21-arm64-ami-gpu-pytorch-2.5-ubuntu-22-04"></a>

**AMI name**: Deep Learning ARM64 AMI OSS Nvidia Driver GPU PyTorch 2.5.1 (Ubuntu 22.04) 20250117

##### Updated
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+ Upgraded Nvidia driver from version 550.127.05 to 550.144.03 to address CVEs present in the [NVIDIA GPU Display Driver Security Bulletin for January 2025](https://nvidia.custhelp.com/app/answers/detail/a_id/5614).

##### Release Date: 2024-11-22
<a name="2024-11-22-arm64-ami-gpu-pytorch-2.5-ubuntu-22-04"></a>

**AMI name**: Deep Learning ARM64 AMI OSS Nvidia Driver GPU PyTorch 2.5.1 (Ubuntu 22.04) 20241122

##### Added
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+ Initial release of Deep Learning ARM64 AMI OSS Nvidia Driver GPU PyTorch 2.5.1 (Ubuntu 22.04) series. Including a conda environment pytorch complimented with NVIDIA Driver R550, CUDA=12.4, cuDNN=8.9.7, PyTorch NCCL=2.21.5.