Deep Learning AMI (Ubuntu)

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Product Overview

Comes with latest versions of pip packages of popular deep learning frameworks pre-installed in separate virtual environments. Includes Apache MXNet, Caffe2, TensorFlow, PyTorch, Keras, CNTK and Theano as well as packages that enable easy integration with other AWS services. It also includes Anaconda Data Science packages. The AMI is designed to provide a stable, secure, and high performance execution environment for running deep learning applications on Amazon EC2. The Deep Learning AMI is provided at no additional charge to Amazon EC2 users.

Release tags/Branches used:
Apache MXNet 1.0 with Gluon,
TensorFlow 1.4,
Caffe2 0.8.1,
PyTorch 0.3,
CNTK 2.2,
Theano 0.9,
Keras 1.2.2 and Keras 2.0.9,

The AMI is also configured with NVidia CUDA 8, CUDA 9, cuDNN 6, cuDNN7, and NVidia Driver 384.81.

The deep learning frameworks are pre-configured in separate Conda-based python environments. You can start running your deep learning code in these fully baked virtual environments in minutes. Check out the AMI Developer Guide for how-to guides, detailed release notes and additional resources for the Conda-based deep learning AMI:



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Operating System

Linux/Unix, Ubuntu 16.04

Fulfillment Options

  • Single AMI

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