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GP-ENGINE NRP and K8s Tutorial Logistics

Overview

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 an 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:

Setup

Sticky Notes and Reactions

Throughout the workshop, we will use sticky notes to indicate status. These help instructors and helpers in the workshop assist with various issues and provide formative feedback during the workshops.

Please make sure the sticky note is visibly on both the front and back of your laptop

  • Yellow Sticky Note: All good to go
  • Red Sticky Note: I need help or I am not ready to continue

Sign in and complete form

Sign into NRP: https://portal.nrp.ai/

When you are signed in, you should see your email at the top right of your screen.
Similar to:

Please enter your email in this form so we can give you access to the resources for the tutorial today:

https://forms.office.com/r/G8Gk0qM0Td

Workshop Recommendations

To make the most of this workshop, we strongly encourage active participation throughout the entire session, including participating in the hands-on exercises and asking questions throughout the workshop.

If you are stuck or not sure on something at any point of the workshop, please let us know and we would be happy to help.

Participation can be accomplished by using the sticky notes or raising hands.

During the Workshop

Open these at the start:

When we move to the hands-on activities

  1. Sign into the GP-ENGINE JupyterHub Portal: https://gp-engine.nrp-nautilus.io/
  2. Select Stack Datascience + K8s and click Start. This process will take a few minutes.
  3. Put up your yellow sticky note when you see it is complete.
Want to learn how to setup your own instance for a class or lab?

Check out the "Deploying JupyterHub" documentation: NRP Jupyter Hub Docs

Cloning the repository:

git clone https://github.com/MUAMLL/gp-engine-tutorials.git

More Information