Automated provisioning of a deeplearning-ready EC2 instance.
This project puts together a CloudFormation template and some helper scripts providing an easy way to get a running virtual machine with all the basic software needed in order to run deep learning applications written in Python on AWS.
First of all create a copy of the configuration example file and call it 'config.sh':
cp config.sh.default config.sh
Then edit the newly created file properly.
Use the helper script 'mng_ec2.sh' to create the EC2 instance:
sh mng_ec2 launch
After a while the instance public IP address will become available by running the command:
sh mng_ec2 status
SSH into your newly created instance and clone this repository locally:
sudo yum update -y
sudo yum install -y git
git clone https://github.com/proud/ec2-deeplearning.git
Now run the provisioning script 'setup_aws_p2.sh' to install Tensorflow and it's dependencies plus some commonly used data science libraries:
cd ec2-deeplearning
sudo sh setup_aws_p2.sh