Deep Learning AMIs Release Notes
Here you can find detailed release notes for all currently supported AWS Deep Learning AMIs (DLAMI) options.
For release notes for DLAMI frameworks that we no longer support, see the Unsupported Framework Release Notes Archive section of the DLAMI Framework Support Policy page.
Security patches not available for PyTorch 2.8 and 2.9 DLAMIs
PyTorch DLAMIs for versions earlier than 2.10 (that is, PyTorch 2.8 and 2.9) contain known common vulnerabilities and exposures (CVEs) that cannot be patched. Because we maintain a separate DLAMI currency release for each PyTorch version, we do not backport security fixes to these images.
We recommend that you migrate to PyTorch 2.10 or later DLAMIs, which continue to receive security patches.
Release Notes
Release Notes for Base DLAMIs
X86 Base DLAMI Release Notes
Below are the release notes for X86 Base DLAMI:
GPU
ARM64 Base DLAMI Release Notes
Below are the release notes for ARM64 Base DLAMI:
GPU
AWS Neuron
-
Refer to the Neuron DLAMI User Guide
.
Release Notes for Single Framework DLAMIs
PyTorch DLAMIs
X86 PyTorch DLAMI Release Notes
Below are the Release notes for X86 PyTorch DLAMIs:
GPU
AWS Neuron
-
Refer to the Neuron DLAMI User Guide
ARM64 PyTorch DLAMI Release Notes
Below are the Release notes for ARM64 PyTorch DLAMIs:
GPU
AWS Neuron
-
Refer to the Neuron DLAMI User Guide
Release Notes for Multi-Framework DLAMIs
Tip
If you use only one machine learning framework, then we recommend a single-framework DLAMI.
Multi-Framework DLAMI Release Notes
Below are the release notes for Multi-Framework X86 DLAMI:
AWS Neuron
-
Refer to the Neuron DLAMI User Guide
