Data analytics and machine learning
Do more with your data!
NeSI provides a range of specialised software capabilities, infrastructure, and services to allow you to explore more possibilities in your field, gain more insight from your data, and work more efficiently across your projects using analytics and machine learning.
Specialised software:
R and Python users can get right into using and exploring the several built-in packages or create custom code.
Jupyter on NeSI is particularly well suited to artificial intelligence and machine learning workloads. R Studio and/or Conda can be accessed via Jupyter.
Commonly used data science environments and libraries such as Keras, LambdaStack, Tensorflow and Conda are available to create comprehensive workflows.
For more information about available software and applications, browse our catalogue here.
Infrastructure:
Advanced GPUs for scalability and to train your models faster.
High performance file systems for fast access to data.
Active and long-term data storage.
For more information about our HPC platform, visit our Support pages.
Services:
Data science support to integrate and optimise your analytics workflows on NeSI.
Fast and secure data transfer using Globus.
Training tutorials and workshops on using GPUs and other data science topics.
If you have questions about how NeSI Services can support your research, contact us.
Getting started:
To get started, apply for a project here. Or, contact NeSI Support for more information.
Case studies:
Examples of research projects that have used NeSI's data analytics and machine learning capabilities:
Building New Zealand's data science and AI capabilities
NeSI is excited to work collaboratively with partners across New Zealand's research ecosystem to continue making national data science infrastructure investments that enable researchers to stay at the top of their fields.
To learn more about that work, click here.
NeSI investments into GPU technologies is supporting advanced and demanding performance needs across a broad community of users.