README.md

Ray Live Demo

This demo can be run live while presenting to show Ray's capabilities.

Instructions

1. Launch a Ray cluster on AWS with ray up cluster_config.yaml
   • To run locally, install the requirements with pip install -r requirements.txt
2. Connect to the head node
   • I recommend using SSH with port forwarding in order to use Jupyter, Ray Dashboard, and Tensorboard without compromising security
   • For example, ssh -L 9999:127.0.0.1:8889 -L 9998:127.0.0.1:8080 -L 9997:127.0.0.1:6006 ubuntu@12.123.123.123 should map Jupyter to 127.0.0.1:9999, Ray Dashboard to 127.0.0.1:9998 and Tensorboard to 127.0.0.1:9997
3. Open the jupyter notebooks on the cluster and set the CLUSTER_ADDRESS parameter in ray_api_demo.ipynb and rllib_demo.ipynb
4. Also set links for Ray Dashboard and Tensorboard
5. Run the live-coding presentation with rise
   • Start a presentation with Alt-r or by pressing the button in the top right of the toolbar
   • Use SpaceBar to navigate to the next slide and Shift-SpaceBar to navigate to the previous slide
   • Use Shift-Enter to run the code in a cell