June 27, 2024 -- Multiverse Computing, a global leader in AI and quantum software solutions, won time on a supercomputer to build a large language model (LLM) for the Large AI Grand Challenge by AI-BOOST, an open challenge program designed to be a benchmark for the European artificial intelligence (AI) community.

AI-BOOST, funded by the European Commission, awarded Multiverse Computing 800,000 hours of compute time on a supercomputer to build and train an LLM from scratch using quantum and quantum-inspired technology.

“Winning this challenge recognizes the specific strength of Multiverse Computing in building faster and more energy-efficient LLMs by using quantum and quantum-inspired technology, today,” said Enrique Lizaso Olmos, co-founder and CEO. “We are proud of the confidence EU leaders have in our expertise and ability to create a new class of LLMs with faster training, smaller datasets and lower operating costs.”

The teams awarded in the Large AI Grand Challenge will have 12 months to develop a large-scale AI model with a minimum of 30 billion parameters and train it on one of Europe’s supercomputers.

This award also represents a significative step-up of the efforts of the European Commission to apply quantum and quantum-inspired technology to the AI field, and in particular to LLMs. The Quantum AI field is getting more and more attention as it is perceived as a potential solution to the increasing demand for larger computational and energy resources in AI.

Challenge applicants submitted a detailed project plan for the development of a large-scale AI model from scratch, a justification for the use of HPC, and a demonstration of the team’s expertise in training foundation models using HPC systems.

The overall objective of AI-BOOST is to attract talent from all over the EU and Associated Countries to drive scientific progress in AI. The project will foster collaboration between the key stakeholders in the AI community to define attractive AI challenges with the potential to lead trustworthy and human-centric real-world solutions.