Features of the DLAMI
Preinstalled Frameworks
There are currently two primary flavors of the DLAMI with other variations related to the operating system (OS) and software versions:
-
Deep Learning AMI with Conda - frameworks installed separately using
conda
packages and separate Python environments -
Deep Learning Base AMI - no frameworks installed; only NVIDIA CUDA
and other dependencies
The Deep Learning AMI with Conda uses conda
environments to isolate each framework, so you can
switch between them at will and not worry about their dependencies conflicting.
This is the full list of supported frameworks by Deep Learning AMI with Conda:
-
PyTorch
-
TensorFlow 2
Note
We no longer support the MXnet, CNTK, Caffe, Caffe2, Theano, Chainer, or Keras in the Amazon Deep Learning AMI.
Preinstalled GPU Software
Even if you use a CPU-only instance, the DLAMI will have NVIDIA CUDA
For more information on CUDA Installation, see the CUDA Installations and Framework Bindings.
Model Serving and Visualization
Deep Learning AMI with Conda comes preinstalled with model servers for TensorFlow, as well as TensorBoard, for model visualizations.