6. Interactive Apps

Login to the browser-based frontend at: https://login.ai.lrz.de and start an interactive web servers, using our GPU resources at LRZ AI Systems. (1. Access is required)

Currently supported are:

• Jupyter Notebook/Lab
• RStudio
• TensorBoard.

On our platform, select "Interactive Apps" -> "Jupyter Notebook" from the top panel.

For a typical use-case

• select the type of resources (CPU only or CPU + single GPU)
• specify your workload (a combination of CPU core and RAM requirements)
• select the container environment you want to work with - this provides a specific version of R and RStudio (every session is containerized, i.e. the information provided here: 4.1 Enroot - Introduction do apply; additionally, see 6.1 R Package Management in Containers)
• specify the number of hours you plan to work with the environment (be aware that your session will be shut down and any unsaved work will be lost).

When everything is set, press "Launch". You will then be re-directed to an overview of your sessions (this can also be accessed by selecting "My Interactive Sessions" from the top panel). Here you find a card representing the session you launched. Given the requested resources are available, the status of the session will change from "Queued" to "Starting" and finally "Running". This should typically take no more than 2 minutes. Once the session has started up properly, a button "Connect to RStudio Server" will appear. Clicking this button will open the RStudio Server environment in a new browser tab.