Science in all disciplines now require more specialised environments for managing workflows and analysing data. NCI has enabled a number these environments for both interactive and computationally intensive use - which is supported via VDI (scientific desktops), JupyterLab, and via the command line or batch systems. These environments are in addition to the various software libraries in /apps on Gadi (and also accessible through the ARE interface).
Our user documentation for these specialised environments include the following:
- AI, Machine Learning and Deep Learning
- Data Analysis Environments - including data analysis techniques
- Bioinformatics and Genomics
- Climate and Weather
- Earth Observation and Environmental
- Geophysics
- Quantum computing
- Visualisation
Our specialised environments leverage our computational platforms as per below, and that using either command line access, Jupyter, scientific desktops or as stand-alone apps:
- Gadi - The Gadi HPC supercomputer for running computationally intensive jobs. particularly suited for large-scale and long running jobs. For more details, consult the Gadi Userguide.
- ARE - This is the production implementation our Open On-Demand platform where the JupyterLabs and VDI run directly on Gadi - which enables visualisation using GPUs, and direct access to Gadi for compute or I/O intensive applications. The home directory for ARE is also unified with Gadi. For more details, consult the ARE Userguide.