Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Machines01:19

Machines

312
Machines are complex structures consisting of movable, pin-connected multi-force members that work together to transmit forces. One example of a machine is the cutting plier, which is used to cut wires by applying forces to its handles. When equal and opposite forces are exerted on the handles of the cutting plier, they cause the cutting edges to come together and apply equal and opposite reaction forces on the wire, which are greater than the applied forces.
A free-body diagram of the...
312
Distribution Reliability and Automation01:25

Distribution Reliability and Automation

138
Distribution reliability in electrical power systems is critical for ensuring an uninterrupted power supply to consumers at minimal cost. According to IEEE Standard Terms, reliability is the probability that a device will function without failure over a specified time period or amount of usage. For electric power distribution, this translates to maintaining continuous power supply and addressing customer concerns over power outages. Several indices, as defined by IEEE Standard 1366-2012, are...
138
Parallel Processing01:20

Parallel Processing

189
The brain processes sensory information rapidly due to parallel processing, which involves sending data across multiple neural pathways at the same time. This method allows the brain to manage various sensory qualities, such as shapes, colors, movements, and locations, all concurrently. For instance, when observing a forest landscape, the brain simultaneously processes the movement of leaves, the shapes of trees, the depth between them, and the various shades of green. This enables a quick and...
189
Machines: Problem Solving I01:22

Machines: Problem Solving I

370
A toggle clamp is a mechanical device commonly used for holding and clamping objects in various applications, such as woodworking, metalworking, and assembly operations. Consider a toggle clamp subjected to a force of 200 N at the handle. The vertical clamping force can be calculated, provided the dimensions of the toggle clamp are known.
The toggle clamp system is a machine structure consisting of movable, pin-connected multi-force members that form a stabilized system to transmit forces. The...
370
Machines: Problem Solving II01:30

Machines: Problem Solving II

345
Machines are complex structures consisting of movable, pin-connected multi-force members that work together to transmit forces. Consider a lifting tong carrying a 100 kg load. It comprises movable sections DAF and CBG linked together with member AB.
345
Transformers in Distribution System01:27

Transformers in Distribution System

133
Transformers in distribution systems can be broadly categorized into distribution substation transformers and other distribution transformers. They are crucial for stepping down high transmission voltages to levels suitable for distribution and end-user applications.
Distribution substation transformers come in various ratings and typically use mineral oil for insulation and cooling. To prevent moisture and air from entering the oil, some transformers use an inert gas like nitrogen to fill the...
133

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

LiraSearch-ultrafast ligand shape and electrostatic matching server.

Bioinformatics advances·2026
Same author

Autoencoder/RandomForest-TabPFN for cross-cancer metabolomics: prostate and breast cancer diagnosis using paper spray and ion mobility-mass spectrometry techniques.

GigaScience·2026
Same author

A leader-repeat hairpin blocks extraneous CRISPR RNA production in diverse CRISPR-Cas13 systems.

The EMBO journal·2026
Same author

Comprehensive analysis of CRISPR array repeat mutations reveals subtype-specific patterns and links to spacer dynamics.

microLife·2026
Same author

The complexity of multiple CRISPR arrays in strains with (co-occurring) CRISPR systems.

microLife·2026
Same author

CoMPaseD: advanced planning of proteomic experiments aiming to identify small proteins.

microLife·2026

Related Experiment Video

Updated: Aug 1, 2025

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline
10:44

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline

Published on: December 7, 2021

2.2K

An accessible infrastructure for artificial intelligence using a Docker-based JupyterLab in Galaxy.

Anup Kumar1, Gianmauro Cuccuru1, Björn Grüning1

  • 1Bioinformatics Group, Department of Computer Science, University of Freiburg, Georges-Koehler-Allee 106, 79110 Freiburg, Germany.

Gigascience
|April 26, 2023
PubMed
Summary
This summary is machine-generated.

A new GPU-enabled JupyterLab infrastructure on Galaxy Europe accelerates AI development. This setup enables rapid prototyping, remote model training, and efficient management of AI projects using powerful compute resources.

Keywords:
CUDAElyra AIGPUGalaxy EuropeJupyterLabONNXartificial intelligenceremote model training

More Related Videos

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
05:47

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

381
Author Spotlight: Enhancing Cryo-Electron Microscopy by Automated Data Collection and Analysis Techniques
07:52

Author Spotlight: Enhancing Cryo-Electron Microscopy by Automated Data Collection and Analysis Techniques

Published on: December 1, 2023

1.1K

Related Experiment Videos

Last Updated: Aug 1, 2025

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline
10:44

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline

Published on: December 7, 2021

2.2K
Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
05:47

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

381
Author Spotlight: Enhancing Cryo-Electron Microscopy by Automated Data Collection and Analysis Techniques
07:52

Author Spotlight: Enhancing Cryo-Electron Microscopy by Automated Data Collection and Analysis Techniques

Published on: December 1, 2023

1.1K

Area of Science:

  • Computational Biology
  • Artificial Intelligence
  • Bioinformatics

Background:

  • Artificial intelligence (AI) programs demand substantial computational resources, including CPUs and GPUs, for training on large datasets.
  • JupyterLab is a valuable framework for AI development but requires robust infrastructure for efficient, parallelized training.

Purpose of the Study:

  • To develop and present an open-source, Docker-based, GPU-enabled JupyterLab infrastructure.
  • To leverage the public compute infrastructure of Galaxy Europe for AI project development and model training.

Main Methods:

  • Deployment of a Docker-based, GPU-enabled JupyterLab environment on Galaxy Europe's extensive compute resources.
  • Utilization of JupyterLab notebooks for remote execution of long-running AI model training.
  • Integration of Git for version control and pipeline creation for notebook execution.

Main Results:

  • The infrastructure supports rapid prototyping and end-to-end AI project development with access to thousands of CPU cores and numerous GPUs.
  • Trained AI models in Open Neural Network Exchange (ONNX) format and other datasets can be generated remotely.
  • Demonstrated utility through reproducing a COVID-19 image analysis publication and predicting protein structures using ColabFold.

Conclusions:

  • JupyterLab on Galaxy Europe provides a highly suitable platform for AI project creation and management.
  • The infrastructure facilitates efficient remote execution of demanding AI training tasks.
  • Accessible via an interactive tool or Docker container, with container scripts available under MIT license.