This workshop will give researchers a hands-on introduction to leveraging the large distributed computing resources available through the National Research Platform (NRP). Researchers will learn how to migrate a AI/ML workflow from their local computer or Swan to the NRP. By accessing Nautilus, you can gain access to a vast array of cutting-edge GPUs, ideal for facilitating AI research and accelerating your research.
When: June 3rd, 10:15 am to 12:15 pm
Learning Objectives:
- 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
These sessions will be delivered in an in-person format.
- In-Person: 260 Scheman Building
Useful Links:
- Getting Started on NRP: https://nrp.ai/documentation/userdocs/start/getting-started/
- NRP Portal: https://portal.nrp.ai/
- Helm Install Guide: https://helm.sh/docs/intro/install/
- Scientific Images on NRP: https://nrp.ai/documentation/userdocs/running/sci-img/
- NRP Gitlab: https://gitlab.nrp-nautilus.io/
- NRP Gitlab K8s Integration: https://nrp.ai/documentation/userdocs/development/k8s-integration/
- Globus on NRP: https://nrp.ai/documentation/userdocs/running/globus-connect/#_top
- NRP Jupyter Hub Docs: https://nrp.ai/documentation/userdocs/jupyter/jupyterhub/
Useful links and commands for the workshop:
Please contact us at hcc-support@unl.edu if you have questions or concerns and we will be happy to help!