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

Journal: GigaScience
Published Date: Apr 26, 2023

Abstract

BACKGROUND: Artificial intelligence (AI) programs that train on large datasets require powerful compute infrastructure consisting of several CPU cores and GPUs. JupyterLab provides an excellent framework for developing AI programs, but it needs to be hosted on such an infrastructure to enable faster training of AI programs using parallel computing.

Authors

  • Anup Kumar
    Department of Urology, University of Central Florida College of Medicine and Global Robotics Institute, Florida Hospital-Celebration Health, Celebration, FL, USA.
  • Gianmauro Cuccuru
    Bioinformatics Group, Department of Computer Science, University of Freiburg, Georges-Koehler-Allee 106, 79110 Freiburg, Germany.
  • Björn Grüning
    Bioinformatics Group, Department of Computer Science, University of Freiburg, Georges-Koehler-Allee 106, 79110 Freiburg, Germany.
  • Rolf Backofen
    Bioinformatics Group, Department of Computer Science, Albert-Ludwigs-University Freiburg, Georges-Köhler-Allee 106, Freiburg, 79110, Germany.

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