.. _launch-inf1-dlami-aws-cli: AWS CLI commands to launch inf1 instances """"""""""""""""""""""""""""""""""""""""" .. code:: bash # Launch instance # The following are the different Deep Learning AMIs to get started and is recommended # for the tutorials. # "Deep Learning AMI (Amazon Linux)*" # "Deep Learning AMI (Amazon Linux 2)*" # "Deep Learning AMI (Ubuntu 18.04)*" # # You can get the latest AMI ID for any of the above ones using the following command AWS_REGION="" AMIID=$(aws ec2 describe-images --filters "Name=name,Values=Deep Learning Base AMI (Ubuntu 18.04)*" --query 'sort_by(Images, &CreationDate)[].[Name,ImageId]' --region $AWS_REGION --output text | tail -n 1 | awk '{print $(NF)}') INSTANCE_ID=$(aws ec2 run-instances --image-id $AMIID --count 1 --instance-type --key-name MyKeyPair --region $AWS_REGION [--subnet-id ]| python -c 'import sys, json; print(json.load(sys.stdin)["Instances"][0]["InstanceId"])') echo "Instance ID of launched instance" $INSTANCE_ID # Wait for few seconds to a minute for the instance to get created and have public DNS/ip. # The following command will get the public DNS name of the launched instance to which # you can then log in to using your key pair. INSTANCE_PUBLIC_DNS=$(aws ec2 describe-instances --instance-id $INSTANCE_ID --region $AWS_REGION | python -c 'import sys, json; print(json.load(sys.stdin)["Reservations"][0]["Instances"][0]["PublicDnsName"])') echo "DNS name of the launched instance" $INSTANCE_PUBLIC_DNS # Wait for couple of minutes for the instance to be ready and then login: ssh -i @$INSTANCE_PUBLIC_DNS