Features of the DLAMI - Deep Learning AMI
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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:

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


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 and NVIDIA cuDNN. The installed software is the same regardless of the instance type. Keep in mind that GPU-specific tools only work on an instance that has at least one GPU. More information on this is covered in the Selecting the Instance Type for DLAMI.

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.