AWS Deep Learning ARM64 AMI OSS GPU PyTorch 2.8 (Ubuntu 24.04)
For help getting started, see Getting started with DLAMI.
AMI name format
Deep Learning ARM64 AMI OSS Nvidia Driver GPU PyTorch 2.8 (Ubuntu 24.04) ${YYYY-MM-DD}
Supported EC2 instances
G5g
The AMI includes the following:
Supported AWS Service: Amazon EC2
Operating System: Ubuntu 24.04
Compute Architecture: ARM64
Linux Kernel: 6.14
NVIDIA Driver: 570.172.08
NVIDIA CUDA 12.9 stack:
CUDA, NCCL and cuDDN installation directories: /usr/local/cuda-12.9/
Default CUDA: 12.9
PATH /usr/local/cuda points to CUDA 12.9
-
Updated below env vars:
LD_LIBRARY_PATH to have /usr/local/cuda/lib:/usr/local/cuda/lib64:/usr/local/cuda:/usr/local/cuda/targets/sbsa-linux/lib
PATH to have /usr/local/cuda/bin/:/usr/local/cuda/include/
AWS CLI v2 at /usr/local/bin/aws
EBS volume type: gp3
Nvidia container toolkit: 1.17.8
Version command: nvidia-container-cli -V
Docker: 28.4.0
Python: /opt/pytorch/bin/python
Query AMI-ID with SSM Parameter (example region is us-east-1):
SSM_PARAMETER="oss-nvidia-driver-gpu-pytorch-2.8-ubuntu-24.04/latest/ami-id" && \ aws ssm get-parameter \ --region
us-east-1
\ --name "/aws/service/deeplearning/ami/arm64/${SSM_PARAMETER}" \ --query "Parameter.Value" \ --output textQuery AMI-ID with AWSCLI (example region is us-east-1):
aws ec2 describe-images --region us-east-1 --owners amazon --filters 'Name=name,Values=Deep Learning ARM64 AMI OSS Nvidia Driver GPU PyTorch 2.8 (Ubuntu 24.04) ????????' 'Name=state,Values=available' --query 'reverse(sort_by(Images, &CreationDate))[:1].ImageId' --output text
Notices
PyTorch Deprecation of Anaconda Channel
Starting with PyTorch 2.6, PyTorch has deprecated support for Conda (see official announcement
Release Date: 2025-09-12
AMI name: Deep Learning ARM64 AMI OSS Nvidia Driver GPU PyTorch 2.8 (Ubuntu 24.04) 20250912
Added
Initial release of Deep Learning ARM64 AMI OSS Nvidia Driver GPU PyTorch 2.8 (Ubuntu 24.04) series. Including a Python virtual environment pytorch (source /opt/pytorch/bin/activate) complimented with NVIDIA Driver R570, CUDA=12.9, cuDNN=9.10, and PyTorch NCCL=2.27.3