Video Tutorial: Getting Started With UCloud

The purpose of this webinar is to provide an introduction to UCloud and a guided tour of the platform’s latest features and updates following the migration to the new data center.

Whether you are new to UCloud or already using the platform, this webinar will help you navigate the platform, manage your projects and data, and make the most of the available applications.

In this session, you will learn how to:

Navigate the new UCloud interface and access your projects and resources.
Manage files and drives – create and organise project drives, upload and share data.
Explore the application catalogue and run applications on UCloud.
Understand the available compute resources and learn how to select the resources that best fit your research needs.

Target audience: Researchers, both new and existing UCloud users across all disciplines who want to get started with UCloud or learn more about the platform’s latest updates and features.

Technical level: Beginner to Intermediate. No prior experience with UCloud is required

Webinar Topics and Timeline

00:00 – 03:58 | Introduction to UCloud and Recent Changes

Introduction to UCloud as a Danish research computing platform.
Overview of compute, storage, AI services, and research software available through the platform.
Discussion of the major May 2026 platform upgrade.
Improvements to the user interface, file browser, terminal access, and synchronization capabilities.
Introduction to the new UCloud AI service.

03:58 – 07:44 | New Compute Resources

Overview of CPU and GPU resources available through DeiC.
Introduction of NVIDIA B200 GPUs.
Explanation of GPU partitioning using MIG technology.
Changes to providers and platform infrastructure.
How support is provided through Interactive HPC and local university front offices.

07:44 – 13:39 | Logging In and Available Applications

Logging into UCloud using WAYF authentication.
Navigating the new dashboard.
Tour of UCloud documentation and the application catalogue.
Overview of popular applications, including Coder, JupyterLab, RStudio, MATLAB, COMSOL, ANSYS, AlphaFold, Transcriber, and Dictaphone.
Introduction to AI, machine learning, and quantum computing resources.

13:39 – 19:20 | Projects, Storage and Resource Allocation

Understanding projects and resource allocations.
Applying for CPU, GPU, and storage resources.
Creating storage drives and folders.
Uploading files to UCloud.
Managing data classifications and sensitive data markings.
Understanding storage quotas and access control.

19:20 – 27:29 | Launching Applications

Using the App Store.
Selecting CPU and GPU machine sizes.
Understanding resource availability indicators.
Attaching folders to applications.
Monitoring jobs and resource consumption.
Using Tmux for persistent terminal sessions.
Introduction to application networking options.

27:29 – 35:36 | Working with Coder and File Storage

Launching and configuring the Coder development environment.
Mounting drives and folders into applications.
Understanding persistent versus temporary storage.
Using job monitoring and sampling features.
Running initialization scripts during application startup.
Best practices for software installation and environment management.

35:36 – 42:07 | Multi-Job Workflows and AI-Assisted Setup

Running multiple applications simultaneously.
Sharing storage between jobs.
Demonstration of AI-assisted generation of initialization scripts using Copilot.
Understanding concurrent access to shared files.
Linux filesystem considerations when working across applications.

42:07 – 45:30 | Collaboration and Project Administration

Inviting collaborators into projects.
Managing project roles and permissions.
Creating user groups.
Configuring shared drive access.
Activating licensed software such as MATLAB.
Managing member files and project resources.

45:30 – 48:24 | Desktop Environments and Virtual Machines

Launching Ubuntu XFCE desktop environments.
Accessing files directly from browser-based desktops.
Introduction to Ubuntu virtual machines.
Differences between containers and virtual machines.
Persistent virtual machine environments and networking options.
Current limitations regarding GPU-enabled virtual machines.

48:24 – 50:13 | Using the Transcriber Application

Demonstration of the Transcriber application.
Uploading and processing audio files.
Selecting transcription models and languages.
Resource recommendations for transcription workloads.
Transcription workflow best practices.

50:13 – 55:53 | Best Practices for Using UCloud

Handling sensitive data responsibly.
Understanding user responsibilities and security considerations.
Backup limitations and version control recommendations.
Working with Git repositories.
Synchronizing files using Syncthing and rsync.
Project lifecycle considerations.
Downloading and exporting data from the platform.

55:53 – 59:33 | Questions and Answers

Public IP addresses versus public links.
Publishing applications and services using NGINX.
Private networking between applications.
Security considerations when exposing applications publicly.
Synchronization workflows and practical recommendations.
Final audience questions and closing remarks.