Kategori: Vejledning

Kategorier
Applikation Interactive HPC Supercomputing Vejledning Webinarer og vejledninger - video Workshop

Webinaroptagelse: Learn to record and transcribe securely with the Dictaphone app

In this webinar recording, you will watch a hands-on workshop introducing Dictaphone – a UCloud application that enables researchers to securely record and transcribe interviews directly from their own devices, even when working with sensitive data. 

In the recording, we guide you through how to: 

  • Record interviews and conversations using Dictaphone on your laptop or smartphone 
    Audio is streamed in real time to the secure UCloud backend, ensuring that no data is stored locally on your device – making Dictaphone well suited for handling sensitive data. 
  • Automatically transcribe recordings within the same workflow
    Dictaphone includes built-in transcription functionality, allowing you to convert speech to text quickly and efficiently. 
  • Make the most of Dictaphone, including tips, additional features, and real research use cases. 

This recording is relevant for researchers across all departments as well as students. 

Dictaphone is a beginner-friendly application and does not require any technical background. 

Time stamps 

  • 00:00 – 06:25: Introduction and getting started 
    Requirements, data classifications, and the basic workflow. 
  • 06:25 – 32:15: Live demonstration of Dictaphone 
    How to record and transcribe, and how to navigate the platform before and after recording. 
  • 32:15 – 33:50: Data storage and security 
    How Dictaphone stores data and why it is suitable for sensitive data. 
  • 33:50 – 35:30: Related resources and support 
    Other webinars, related UCloud apps, and contact information. 
  • 35:30 – 43:15: Q&A session 
    Questions from the participants. 
  • 43:15 – 44:22: Wrap-up and next steps 
    Summary and where to find further resources. 

Relevant links 

Kategorier
Applikation Supercomputing Vejledning Webinarer og vejledninger - video

Webinaroptagelse: ChatUI and CVAT pipelines

In this video we will guide you through two different AI based workflows, involving ChatUI and CVAT apps.

You will learn how to:

  • Use advanced CVAT features including auto-annotation, algorithmic assistance, management and analytics.
  • Use Chat UI as a flexible interface for hosting of various LLM models, and interact via a chat or API environment.
  • Use ChatUI for semantic search in a knowledge base.
  • Use CVAT as a powerful annotation tool, including image classification, object detection, semantic and instance segmentation, and video / 3D annotations.
Kategorier
Interactive HPC Vejledning Webinarer og vejledninger - video

Webinaroptagelse: Transcribing and editing audio transcriptions with Transcriber and Speech Analyzer apps

In this video we will guide you through the complete pipeline of transcribing audio files from speech to text and editing and classifying transcription segments.

In this session, you’ll learn how to:

  • Use Transcriber for transcribing audio/video files. Transcriber is based on Open AI’s Whisper language model. The app can transcribe speech audio to text in various formats and uses the WhisperX package to perform speaker recognition.
  • Navigate the new, simple, drag and drop Transcriber user interface to make it easier for you to use AI to transcribe audio files.
  • Edit and classify the transcriptions with Speech Analyzer. Speech Analyzer is an application built on top of Label Studio, specifically optimized for dialogue analysis. It enables you to label, edit, and annotate transcriptions generated using Transcriber.
  • Perform a comprehensive dialogue analysis on UCloud involving transcribing audio files using Transcriber, followed by transcription analysis with Speech Analyzer.

All workflows will be executed inside a UCloud project environment with access to GPU resources.

Target audience: Researchers across all Departments, particularly Digital Humanities and Social Science, Students, AI interested.

Kategorier
Interactive HPC Supercomputing UCloud Vejledning Webinarer og vejledninger - video Workshop

Webinaroptagelse: Fine-Tuning and Deploying  Large Language Models

In this video we will guide you through the complete pipeline of fine-tuning large language models (LLMs) for specialised tasks such as medical question-answering using NeMo Framework and Triton Inference Server.

  • Prepare and preprocess open-source datasets for fine-tuning.
  • Apply Parameter-Efficient Fine-Tuning (PEFT) using LoRA with NVIDIA NeMo Framework.
  • Deploy optimised LLMs using NVIDIA Triton Inference Server and TensorRT-LLM.
  • Generate a synthetic Q&A dataset using Label Studio connected to a live inference backend.
  • Fine-tune and evaluate your customised LLM for domain-specific applications.

All workflows will be executed inside a UCloud project environment with access to GPU resources.

Target audience: Machine learning practitioners, researchers, and engineers interested in LLM customisation, domain adaptation, or scalable model deployment.

Technical Level: Intermediate to Advanced.

Notebooks: https://github.com/emolinaro/ucloud-workshop-28-05-2025

Kategorier
Applikation Interactive HPC Supercomputing Undervisning Vejledning Webinarer og vejledninger - video

Webinaroptagelse: UCloud courses hands-on

In this video we will go through the process of developing a course on UCloud, using UCloud Courses – a tool for hosting and managing university courses on UCloud. Wnt to know more about this new feature, check out our webinar recording introducing UCloud Courses.

Introduction

00:00 – Outline of the workshop agenda
03:10 – Introduction to the UCloud Courses concept
04:23 – Advantages of using UCloud Courses
05:56 – Outline of the steps involved in developing a UCloud Course
09:54 – Requesting and planning a UCloud Course
10:20 – Example of the planning and structuring of an existing UCloud Course

Developing a UCloud Course step by step

Setting up the environment
15:53 – Preliminary remarks
17:15 – Showing the existing UCloud Course that will be re-developed in the workshop
18:02 – Showing the UCloud-Courses GitHub repository
18:40 – Software requirements and -recommendations
20:22 – Short introduction to Git and GitHub
24:27 – Cloning the repository
25:15 – Creating a working branch
26:12 – What should go in the UCloud-Courses repository and what shouldn’t
27:24 – Installing the required dependencies

Creating a new UCloud Course and modifying the templates
28:00 – Creating a UCloud Course using a prepared script
30:31 – Walk-through of the different auto-generated files/folders in the course folder
33:35 – Short introduction to Docker
38:15 – Modifying the Dockerfile
42:32 – What should go in the UCloud-Courses repository and what shouldn’t
45:28 – Building the Docker image locally using a prepared script
47:54 – Modifying the starting script
01:00:50 – What can, shouldn’t, and mustn’t be changed while the course is running

Building and testing the course locally
01:05:00 – Re-building the Docker image locally using a prepared script
01:05:25 – Running a Docker container locally using a prepared script
01:10:58 – Opening the JupyterLab interface on localhost

Finalising the course app
01:12:48 – Opening a pull request and requesting code review
01:19:44 – Testing the course app on UCloud before it’s deployed

Closing remarks

01:25:44 – Reusing/updating an existing UCloud course
01:28:19 – The financial model in brief
01:29:38 – Useful links and resources

UCloud-Courses GitHub repository:
https://github.com/SDU-eScience/UCloud-Courses

README in the UCloud-Courses GitHub repository:
https://github.com/SDU-eScience/UCloud-Courses/blob/main/README.md

Wiki page in the UCloud-Courses GitHub repository:
https://github.com/SDU-eScience/UCloud-Courses/wiki

The UCloud course app redeveloped in the workshop (UCloud login required):
https://cloud.sdu.dk/app/jobs/create?app=nlp-demo-course_147222U005

eScience Servicedesk (point of first contact):
https://support.escience.sdu.dk/

Kategorier
UCloud Undervisning Vejledning Webinarer og vejledninger - video Workshop

Webinaroptagelse: Introduction to hosting courses on UCloud

I denne video introducerer vi den nye UCloud Courses-app – et værktøj til at hoste og administrere universitetskurser i UCloud.

Dr. Federica Lo Verso guider dig igennem appens koncept og baggrund.
Du får en praktisk demonstration af, hvordan du tilgår og bruger værktøjet, udforsker dets integration med GitHub, og hører direkte fra Dr. Himanshu Khandelia, som deler sine erfaringer med at bruge UCloud Courses i virkelige undervisningssituationer.

Vi guider dig også gennem ansøgningsprocessen, viser dig de tekniske og økonomiske krav og giver dig en forsmag på et kommende praktisk kursus.

Tidskoder:

00:00 – Introduktion ved Dr. Federica Lo Verso
01:23 – Baggrund: Lanceringen af den nye UCloud Courses-app
04:12 – Gennemgang: Hvor du finder Courses-appen, og hvordan du bruger den
07:00 – Opsummering af demonstrationen af UCloud Courses-appen
07:56 – Gennemgang: Sådan fungerer GitHub-repositoriet
10:07 – Fordele ved at bruge Courses på UCloud
11:12 – Introduktion til brugsscenarie: Dr. Himanshu Khandelia
11:58 – Dr. Khandelia deler sine erfaringer med at bruge UCloud Courses
14:00 – Live-demo: Dr. Khandelia viser sin brug af Courses og GitHub-integration
23:00 – Sådan ansøger du: Ansøgningsprocessen for UCloud Courses
24:21 – Påkrævede ressourcer til at køre et UCloud-kursus
25:28 – Sådan genbruger og opdaterer du eksisterende UCloud Courses
26:20 – Økonomisk model: Omkostninger og tilgængelig støtte
27:12 – Outro og teaser til det kommende praktiske kursus

Kategorier
Supercomputing UCloud Undervisning Vejledning Workshop

Workshop 11/6: UCloud Courses hands-on

Udvikling af din egen UCloud-kursusapp med en nyudviklet skabelonbaseret tilgang

Deltag i en praktisk workshop, hvor vi guider dig gennem alle trin i udviklingen af en UCloud-kursusapp ved hjælp af vores nyudviklede skabelonbaserede tilgang. Konceptet går ud på at have en dedikeret app på UCloud til dit universitetskursus, som studerende kan bruge f.eks. i øvelses-/labsessioner og/eller derhjemme. En introduktion til tilgangen findes i denne webinaroptagelse.

I denne workshop lærer du at:

  • Oversætte din kursusstruktur til en struktur, der er kompatibel med en UCloud-kursusapp.
  • Opsætte kursusudviklingsmiljøet, hvilket indebærer at klone GitHub-repositoriet og køre et kursus-setup-script.
  • Tilpasse de medfølgende skabeloner for at bygge en UCloud-kursusapp, der inkluderer alle nødvendige komponenter – softwareafhængigheder, scripts, datasæt og mere.
  • Teste kurset på din egen computer under udviklingen for at sikre, at alt fungerer korrekt. Vi ser også, hvordan den færdige kursusapp ser ud, når den er lagt på UCloud.

Git/GitHub og Docker er essentielle værktøjer i udviklingen af UCloud-kursusapps. I workshoppen giver vi korte introduktioner til begge værktøjer, primært rettet mod deltagere uden forudgående erfaring. Deltagerne kan med fordel gennemgå introduktionsmateriale til Git og Docker på forhånd, men det er ikke et krav.

Dato: 11. juni 2025

Tidspunkt: 12:30–14:30 (CET)

Sted: Online, via Zoom (link følger)

Målgruppe: Forskere og undervisere fra alle afdelinger på alle danske universiteter

Teknisk niveau: Grundlæggende til avanceret

Tilmeld dig denne workshop

Kategorier
Vejledning Webinarer og vejledninger - video Workshop

Workshopoptagelse: AI Applications on DeiC Interactive HPC UCloud – Harnessing Hardware & Tools for AI Development

Timestamps:

00:00 – Introduction and welcome
00:50 – Introduction to UCloud
05:27 – DeiC Interactive HPC website
06:07 – UCloud: Log in
07:06 – UCloud: HPC providers on the UCloud platform
11:08 – UCloud: Initial resource allocations in “My workspace”
12:27 – UCloud: Storage in “My workspace”
13:28 – UCloud: Resources and applications for new resource allocations
13:50 – UCloud: Completing the resource application
21:05 – UCloud: Resource pools and limits (what does it cost?)
23:05 – UCloud: Apps, the app store, applications index in UCloud docs
26:00 – UCloud: Advanced use cases and integration patterns

27:45 – UCloud: Transcriber: Intro and resource needs
30:08 – UCloud: Transcriber: Uploading files inside a project
31:20 – UCloud: Transcriber: Finding and launching Transcriber
32:00 – UCloud: Transcriber: Run Transcriber for the first time (Completing the app launch screen)
34:28 – UCloud: Transcriber: Running multiple Transcriber jobs simultaneously
35:00 – UCloud: Transcriber: Import previous Transcriber job parameters
35:35 – UCloud: Transcriber: Opening running jobs from the “Recent runs” pane
37:15 – UCloud: Transcriber: Transcriber output directories (Jobs folder)
38:26 – UCloud: Transcriber: Transcriber outputs in “Recent runs”
39:54 – UCloud: Transcriber: Output inspection and data download of zip file

41:36 – UCloud: Chat UI: Introduction
43:27 – UCloud: Chat UI: Run Chat UI for the first time (Completing the app launch screen)
48:40 – UCloud: Chat UI: First look at the Chat UI interface (disable new sign-ups and download a model)
52:36 – UCloud: Chat UI: Including documents to support Retrieval Augmented Generation (RAG) (i.e. supplementing the model with an additional document)
57:18 – UCloud: Chat UI: Extend the job time on any UCloud job (if needed)
58:28 – UCloud: Chat UI: Text-to-image generation (stable diffusion with a standard LLM model)
1:01:45 – UCloud: Chat UI: RAG for (best guess) document summarization (beware of model hallucinations)

1:04:45 – UCloud: Label Studio: Introduction
1:05:15 – UCloud: Label Studio: Run Label Studio for the first time (Completing the app launch screen)
1:07:55 – UCloud: Label Studio: First look at the Label Studio interface
1:09:40 – UCloud: Label Studio: Brief view of the Label Studio documentation
1:10:52 – UCloud: Label Studio: Introduction to the coming “Speech Analyser” application
1:15:45 – UCloud: Label Studio: Documentation

1:16:08 – Conclusion

Kategorier
Undervisning Vejledning

Webinar 30/4: Introduktion til UCloud Courses

Undervisere, sæt kryds i kalenderen den 30. april!

DeiC Interactive HPC-konsortiets partnere har arrangeret et online webinar om det nyudviklede koncept UCloud kurser.

Webinaret er åbent for undervisere/forskere fra alle danske universiteter.

Hvis du allerede nu ved, at du gerne vil bruge UCloud til et kursus i efteråret 2025, er det nu, du skal deltage.

I dette webinar vil vi komme ind på:

  • Det nyudviklede koncept for UCloud-kurser
  • Fordelene ved at afholde universitetskurser på UCloud
  • Ansøgningsproceduren for undervisere (front office-support, finansieringsmodel m.m.)
  • Underviseres erfaringer med at afholde kurser på UCloud
  • Spørgsmål og svar (Q&A)

Detaljer:

Dato: 30. april 2025
Tid: 13:00 – 14:00
Varighed: 1 time
Sprog: Engelsk

Se optagelsen fra webinaret

Kategorier
Interactive HPC Supercomputing UCloud UCloud driftsstatus Vejledning

No More Waiting for Resources

Streamline your workflow when using DeiC Interactive HPC

Have you ever experienced delays due to high demand for computing resources on UCloud (DeiC Interactive HPC)? The key to faster access and reducing system strain is efficient resource management.

Over-requesting can lead to unnecessary waiting because DeiC Interactive HPC operates by allocating resources to users as the requested resources become available, without the use of priority queues. Consequently, if you select a large machine for a relatively small task, you will need to wait for other tasks requested for these larger but fewer machines to finish, leading to prolonged waiting.

“Users with little or no experience in assessing the amounts of resources needed have a tendency to request more than they actually need.  This causes unnecessary queues and frustration for other users. However, we also see experienced users choosing the large machines simply out of habit instead of starting small, and subsequently migrate to a larger machine only when necessary.”

Jes Elgin, Cloud Engineer at DeiC Interactive HPC

To avoid delays, users need to accurately assess and request only the necessary resources for their task. Starting with conservative estimates can expedite access and improve overall system efficiency.

“Choosing small will always give you a head start as there are more small machines, and you can always upgrade to a large machine if you need it. You don’t have to start over, and you won’t lose any data.”

Jes Elgin, Cloud Engineer at DeiC Interactive HPC

**TIP!** Did you know that the likelihood of obtaining a machine right away is higher the less resources you request?

So, choose your machine based on a qualified estimate of resources needed. If unsure start small and seek advice from experienced colleagues or the DeiC Front Office.

For optimal use of interactive HPC and to enhance your research, consult our guide on Interactive HPC Best Practices.