AI-BOOST – Large AI Grand Challenge

AI-BOOST introduces an Open invitation for Europe’s Generative Artificial Intelligence community, designed as a big competition to spark the creativity of researchers, visionaries and founders from Europe

This competition was carefully planned to focus on European startups and SMEs deeply involved with large-scale AI models, and will reward innovative startups and SMEs for devising ambitious strategies and making commitments to develop large-scale AI models. 

The available budget for monetary prizes of the Large AI Grand Challenge is 1.000.000€.

The money will be awarded by the panel of the Large AI Grand Challenge, as follows: 

  • LUMI Winner: Up to two prizes of 250,000€ and an allocation of 2 million GPU hours on the LUMI facility per project. This allocation will be used to develop the large-scale AI model described in the proposals in the 12 months following the prize awards. 
  • Leonardo Winner: Up to two prizes of 250,000€ and an allocation of 2 million GPU hours on the Leonardo facility per project. This allocation will be used to develop the large-scale AI model described in the proposals in the 12 months following the prize awards. 

And also: 

  • The chance to be a part of a network that collaborates with European Commission DG Connect – CNECT AI and Robotics and EuroHPC-JU
  • The opportunity to make use of EuroHPC-JU facilities and target supercomputers. 

Consortiums are not eligible within this challenge, as well as single legal entities that are not an SMEs (e.g., universities, research centres; NGOs, governmental organisations, large companies, etc.). 

The expected outcome of the Large AI Grand Challenge is the selection of up to four proposals to create innovative foundational language models that will outperform state-of-the-art systems in a number of relevant tasks.

The development of these models should necessarily involve the use of High-Performance Computing (HPC).  The model must be trained from scratch, possess a minimum of 30 billion parameters, and be trained following state-of-the-art optimal scaling laws for computing and training data size

Join the webinar on the 12 Dec – 10 AM CET

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The event is finished.

Date

Nov 16 2023 - Jan 16 2024
Expired!

Time

All Day