Skip to content
Deep Hybrid DataCloud

Deep Hybrid DataCloud

  • Home
  • The project
    • Objectives
    • Partners
    • Internal Tools
      • Agenda
      • Confluence
    • Contact Us
  • The Platform
    • MarketPlace
    • Training dashboard
    • DEEP as a Service
    • Identity and Access
    • Documentation
      • Release notes
    • Support
    • Software
      • GitHub (DEEP-OC)
      • GitHub (INDIGO)
      • DockerHub
  • Downloads
    • Communication kit
      • Brochure
      • EOSC one-pager
      • Newsletter #1
      • Newsletter #2
    • Presentations
      • udocker slides
      • Container based virtualization slides
    • Deliverables
    • Scientific Publications
  • Use Cases
    • Demos
  • News & Updates
News & Events, Uncategorized

DEEP has won the EOSCHub week demo contest!

We have won the demo contest at the virtual EOSCHub-week with a video demo showing how to easily deploy, train and share your deep learning model both in CLOUD and HPC systems!

Some slides about the demo can be found here. The video demo can be watched here!

2020-05-212020-05-21

Published by lloret

View all posts by lloret

Post navigation

Previous Previous post: New publication: “A Cloud-Based Framework for Machine Learning Workloads and Applications”

Supporting artificial intelligence (machine learning and deep learning), parallel post-processing of very large data, and analysis of massive online data streams over distributed e-Infrastructures in the European Open Science Cloud (EOSC).

  • Twitter
  • GitHub
  • DockerHub
  • ResearchGate
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 777435.

Privacy Policy