Jana Makar

As researchers increasingly generate and transfer data at expanding rates, NeSI, REANNZ, Globus and other partners have been responding to those needs by improving and extending the capabilities of... Read more

Please join us in welcoming the newest members to the NeSI team!  Attribution:  Neil BrightI’m Neil Bright.  I spent my youth in lower Michigan in the US and the last 20+ years leading the High Per... Read more

Graphical Processing Units (GPUs) promise to significantly accelerate compute intensive research and migrating code from CPU to GPUs can often bring huge rewards. But is it a fit for your particula... Read more

Planning for NeSI's NZ Research Software Engineering Conference 2021 (NZRSE 2021) is well underway and the Call for Submissions is now open!Themed Open Research – Workflows, Data and Communities, t... Read more

Photo of Alena Malyarenko in Antarctica

Improving research approaches to predicting sea level rise

"The number of tests that were conducted in this Consultancy would not be possible to run by me in such a short time period."
Subject: 

A new $2.1 million investment announced today by New Zealand eScience Infrastructure (NeSI) will ensure the country's national research computing platforms remain responsive and high-performing to ... Read more

The recently announced upgrade and extension of Mahuika will bring together new tools and technologies to keep pace with today's increasing diversity of research drivers, including growth in data, ... Read more

Deep learning in land care research

"We're looking at how we can further automate those processes to make them more efficient so they can be run more frequently, for example to keep up with the rate that satellite imagery is now being produced."
A photo of hands on a keyboard with binary code overlaid.

How Globus enables national cyber infrastructures

Working together to accelerate discovery.
A picture of one of the A100 GPU cards being installed into a rack of the Mahuika cluster.

Tech Insights: Testing the A100 tensor cores on deep learning code

Testing real user code, instead of benchmarks, gave us the opportunity to learn more about the experience we can expect for our users.