Explore AI and High Performance Computing with the New Medora Cluster

June 23, 2026 | In-person Workshop | Lunch provided

Are you interested in accelerating your research with high-performance computing and modern AI technologies? Join UND’s Computational Research Center for a hands-on introduction to Medora, UND’s newest high-performance computing cluster designed to support advanced research and education with cutting-edge GPU resources for artificial intelligence, machine learning, data science, simulation, and computational engineering.

Medora consists of 16 compute nodes, each equipped with an NVIDIA Grace-Hopper Superchip , providing a modern platform for GPU-accelerated computing and AI workloads. Whether you are training machine learning models, processing large datasets, running simulations, or exploring new AI applications, Medora offers the computational power to support your research.

This workshop is intended for College of Engineering & Mines faculty and graduate students who want to learn how to leverage HPC resources in their research. Whether you are new to HPC or already familiar with UND’s existing cluster, this session will help you get started using Medora effectively.

Why Attend?

Modern research increasingly depends on access to advanced computing resources. Medora’s Grace-Hopper architecture provides researchers with access to state-of-the-art hardware designed for:

• Artificial Intelligence and Machine Learning
• Data Science and Analytics
• Computational Modeling and Simulation
• Engineering Design and Optimization
• Scientific Computing and Large-Scale Data Processing

Participants will receive temporary accounts, allowing them to follow along and gain hands-on experience during the workshop. No existing HPC account is required.

What You’ll Learn

During this 2.5-hour interactive session, attendees will:

• Access Medora using both SSH and Open OnDemand
• Navigate the cluster environment
• Upload and download files
• Submit and monitor jobs
• Understand cluster resource allocation and scheduling
• Learn how to evaluate job performance and resource utilization
• Explore pathways for obtaining a permanent account

A working knowledge of Linux is recommended, but no prior HPC experience is required.

Hands-on Experience Included

All registered participants will receive:

• A temporary Medora account for workshop activities
• Access to training materials and example workflows
• The ability to run and monitor jobs during the session
• Guidance on requesting long-term access to the cluster

Registration Information

Date: June 23, 2026, 10:30am-1:00pm

Format: In-person at Collaborative Energy Complex, Big Ideas Gym

Capacity: Limited to 30 participants

Lunch: Provided

Registration is required (here) and space is limited.

Whether you are looking to accelerate existing computational workflows or explore AI-enabled research for the first time, this workshop will provide the foundation needed to begin using UND’s newest GPU-powered computing resource.

We look forward to seeing you at Medora!