Welcome to the NeSI User Support Centre
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User Resource Guide
This overview provides some useful links to get you started.
For information on getting an account and allocation with us, please visit
NeSI Account Portal
This is our web portal for managing your account, project, authorized users, etc.
Please use my.nesi.org.nz to update your password, manage the 2-factor authentication token, and check/request project membership.
Logging in to NeSI resources is primarily accomplished via SSH (or “secure shell”). This is a method of getting a command-line interface on our clusters, which runs a version of the Linux operating system. For more details on how to connect to our systems, please visit
If that sounds too intimidating, and you would like to try a zero-client web-browser approach to using NeSI, you can log in to our JupyterHub: https://jupyter.nesi.org.nz
For an introduction to the features of Jupyter on NeSI, check out Jupyter on NeSI
Small files can be moved to and from NeSI systems inside of Jupyter. SCP (Secure
CoPy) is another common method. If you have a large amount of data to move, you
can schedule transfers via
Globus on NeSI.
NESI Globus Web App https://transfer.nesi.org.nz/
Instructions to be executed by the node(s) assigned to you when your request for resources can be met by the scheduler – can get very complicated, so it’s best to refer to the documentation for the software you want to use to get started.
We also have a more detailed guide on the batch system that we recommend new users read. It provides information about scheduling, job submission and how to write scripts to accomplish various tasks.
We offer introductory workshops for new HPC users on most weeks of the year. For more information on when we hold these and how to register your interest, see NeSI Introductory Workshop.
If you want to learn more about using the command line, we have some useful resources on UNIX Basics. Unix Shell: Reference Sheet
NeSI ConsultancyNeSI's Consultancy service provides scientific and HPC-focussed computational and data science support to research project across a range of domains.
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