The Holland Computing Center (HCC) is excited to host a tutorial on August 20th on leveraging the large distributed computing resources available through the National Research Platform (NRP). By utilizing Nautilus, the NRP HyperCluster, you can gain access to a vast array of cutting-edge GPUs, ideal for facilitating AI research and accelerating your research.

The tutorial will cover the fundamentals of running machine learning and GPU jobs on the Nautilus HyperCluster. Participants will learn about basic concepts of Kubernetes, deploying jobs and pods to Nautilus, running GPU jobs, and scaling computer vision models using job automation. The hands-on workshop will encourage participants to assist each other and apply what they learn to their own research problems.

Topics covered include:

  • Kubernetes Architecture and Concepts

  • Hands-on with Nautilus HyperCluster

  • Deploying Pods and Jobs in Kubernetes using Nautilus

  • Deploying Scikit-Learn ML Jobs to Kubernetes

  • Deploying GPU Jobs to Kubernetes for Training Computer Vision Models

  • Scaling Computer Vision Models on Kubernetes with Job Automation

Registration is now available. Space is limited.

No software installation is required. No HCC account is required.

When: August 20, 2025 - 12:00 PM - 3:00 PM

Cost: FREE

Where: Zoom

Website: https://hcc.unl.edu/gp-engine-migrating-aiml-workflows-nautilus-august-2025

Registration: https://marketplace.unl.edu/hcc/hcc-gp-engine-workshop-august-2025.html

What is the National Research Platform?

The National Research Platform (NRP) is a partnership of more than 50 institutions, led by researchers at UC San Diego, University of Nebraska-Lincoln, and UC Berkeley and includes the National Science Foundation, Department of Energy, and multiple research universities in the US and around the world.

What is the Holland Computing Center?

The Holland Computing Center provides high-end resources — and training to effectively utilize them — to researchers across the NU system. For further information contact [email protected] or visit our website.