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Deep Learning sandbox Cloud Formation Template

deeplearning-env-cfn

Includes 2 variants of DL environment, EFS persistent storage, Spot Instances support. Completely fits under free tier when using t2.micro and less than 5GB of EFS space.

Currently has a choice of two environments:

  1. ubuntuBootstrapAMI – Bootstraps environment based on Ubuntu 16.04, Anaconda 2-4.2.0, Cuda 8.0.44, Keras 1.2.2 and Theano

Root volume – 16Gb, Data – EFS mounted under /home/ubuntu/efs

Compatible to run fast.ai courses notebooks.

  1. awsDeepLearningAMI – Amazon Deep Learning AMI 2.2_Jun2017

Root volume – 50Gb, Data – EFS mounted under /home/ec2-user/efs

In case of custom AMIs – EFS is not mounted automatically and Jupyter password parameter is ignored.

Regions to AMIs mapping:

Image us-east-1 us-west-2 eu-west-1
awsDeepLearningAMI ami-e47723f2 ami-c6dfb2a6 ami-df0a1ab9
ubuntuBootstrapAMI ami-80861296 ami-efd0428f ami-a8d2d7ce

Prerequisites

  • At least 1 AWS VPC, subnet and security group.
  • At least 1 EC2 Key Pair.

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