msis/aws_dlami_jupyter.md

Last active February 4, 2018 22:56

Star (0) You must be signed in to star a gist
Fork (0) You must be signed in to fork a gist

Learn more about clone URLs
Clone this repository at <script src="https://gist.github.com/msis/2159d9e03a14faf4afba77095897a609.js"></script>
Save msis/2159d9e03a14faf4afba77095897a609 to your computer and use it in GitHub Desktop.

[jupyter notebook on AWS] How to launch jupyter notebook from inside AWS Deep Learning AMI? #aws #jupyter #notebook #python #ssh

Raw

aws_dlami_jupyter.md

ssh to the remote instance (based on Ubuntu Deeplearning AMI) with port* redirection:

ssh -L 8888:127.0.0.1:8888 ubuntu@IP

activate the environment (here we're using tensorflow_p36):

source activate tensorflow_p36

launch jupyter:

jupyter notebook --no-browser

copy the link with the token
on your local machine, go to the link copied above.

*: this will redirect all the traffic on port 8888 to this instace. It might be in conflict with your local jupyter server for example. A solution is to redirect towards another port and use the same port when launching jupyter.