# Release Notes Archive
<a name="archive-detail-gpu-tensorflow-2.17-ubuntu-22-04"></a>

##### Release Date: 2025-02-17
<a name="2025-02-17-gpu-tensorflow-2.17-ubuntu-22-04"></a>

**AMI name**: Deep Learning OSS Nvidia Driver AMI GPU TensorFlow 2.17 (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: 2025-01-20
<a name="2025-01-20-gpu-tensorflow-2.17-ubuntu-22-04"></a>

**AMI name**: Deep Learning OSS Nvidia Driver AMI GPU TensorFlow 2.17 (Ubuntu 22.04) 20250118

##### 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)

##### Version 2.17.1
<a name="2024-11-18-gpu-tensorflow-2.17-ubuntu-22-04"></a>

**Release date**: 2024-11-18

**AMI name**: Deep Learning OSS Nvidia Driver AMI GPU TensorFlow 2.17 (Ubuntu 22.04) 20241115

##### Fixed
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+ Due to a change in the Ubuntu kernel to address a defects in the Kernel Address Space Layout Randomization (KASLR) functionality, G4Dn/G5 instances are unable to properly initialize CUDA on the OSS Nvidia driver. In order to mitigate this issue, this DLAMI includes functionality that dynamically loads the proprietary driver for G4Dn and G5 instances. Please allow a brief initialization period for this loading in order to ensure that your instances are able to work properly.
  + To check the status and health of this service, you can use the following commands:

```
sudo systemctl is-active dynamic_driver_load.service
active
```

##### Version 2.17.0
<a name="2024-09-25-gpu-tensorflow-2.17-ubuntu-22-04"></a>

**Release date**: 2024-09-25

**AMI name**: Deep Learning OSS Nvidia Driver AMI GPU TensorFlow 2.17 (Ubuntu 22.04) 20240924

##### Added
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+ Initial release of the Deep Learning OSS Nvidia Driver AMI GPU TensorFlow 2.17 (Ubuntu 22.04) series.
  + Software Includes the Following:
    + "nvidia-driver=550.90.07"
    + "fabric-manager=550.90.07"
    + "cuda=12.3"
    + "cudnn=8.9.7"
    + "efa=1.34.0"
    + "nccl=2.22.3"
    + "aws-nccl-ofi-plugin=v1.11.0-aws"
+ Tensorflow virtual environment (activation command source /opt/tensorflow/bin/activate) includes the following:
  + "tensorflow=2.17.0"