Hi Bob looks very much like you have not set up the environment, search these forums for the AWS scripts should be in the early lesson wikis also the scripts are also in the Build your own server forum. As noted by many build your own server has cost and performance benefits.
Got the same error message the first time that I tried the command.
Different error the second time.
Connected to the jupyter server successfully, but import theano gave an error suggesting that there is no gpu.
WARNING (theano.sandbox.cuda): CUDA is installed, but device gpu is not available (error: Unable to get the number of gpus available: no CUDA-capable device is detected)
See below:
The authenticity of host ‘ec2-34-238-179-241.compute-1.amazonaws.com (34.238.179.241)’ can’t be established.
ECDSA key fingerprint is SHA256:SsDA2vPjSSlKgiQnr01MlQ33ZxFpzl8INLbx5hOG/1A.
Are you sure you want to continue connecting (yes/no)? y
Please type ‘yes’ or ‘no’: yes
Warning: Permanently added ‘ec2-34-238-179-241.compute-1.amazonaws.com,34.238.179.241’ (ECDSA) to the list of known hosts.
Welcome to Ubuntu 16.04.1 LTS (GNU/Linux 4.4.0-36-generic x86_64)
7 packages can be updated.
4 updates are security updates.
Last login: Sun Oct 16 02:04:33 2016 from 124.110.152.24
ubuntu@ip-10-0-0-13:~$ nvidia-smi
nvidia-smi: command not found
ubuntu@ip-10-0-0-13:~$ nvidia-smi
Failed to initialize NVML: Driver/library version mismatch
ubuntu@ip-10-0-0-13:~$ pwd
/home/ubuntu