Release Notes Archive
Release Date: 2025-02-17
AMI name: Deep Learning OSS Nvidia Driver AMI GPU PyTorch 2.5.1 (Ubuntu 22.04) 20250216
Updated
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
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_LIBRARY_PATH to include your CUDA compatibility libraries as shown in the If you use a CUDA compatibility layer tutorial.
Removed
Removed user space libraries cuobj and nvdisasm provided by NVIDIA CUDA toolkit
to address CVEs present in the NVIDIA CUDA Toolkit Security Bulletin for February 18, 2025
Release Date: 2025-01-21
AMI name: Deep Learning OSS Nvidia Driver AMI GPU PyTorch 2.5.1 (Ubuntu 22.04) 20250119
Updated
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
.
Release Date: 2024-11-21
AMI name: Deep Learning OSS Nvidia Driver AMI GPU PyTorch 2.5.1 (Ubuntu 22.04) 20241121
Added
Initial release of Deep Learning AMI GPU PyTorch 2.4.1 (Ubuntu 22.04) series. Including a conda environment pytorch complimented with NVIDIA Driver R550, CUDA=12.4.1, cuDNN=8.9.7, PyTorch NCCL=2.21.5, and EFA=1.37.0.
Fixed
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.serviceactive
