Gauss AI Compute Competition For JUPITER Use Starts

Full Article

A new competition has been initiated to promote artificial intelligence research using the JUPITER supercomputer, Europe's first exascale system. Organized by the Gauss Centre for Supercomputing and the Jülich Supercomputing Centre, the competition aims to foster the development of generative AI models. Submissions are open from January 17 to March 17, 2025, with successful projects gaining access to significant computational resources.

JUPITER is set to revolutionize AI research with its unprecedented computing power, exceeding one quintillion operations per second. The competition will provide around 15 million GPU hours for researchers to train AI models, particularly those focused on generative AI. This initiative not only enhances Germany's position in AI technology but also aims to create societal benefits through effective knowledge transfer.

• JUPITER will provide 15 million GPU hours for AI research.

• The competition aims to advance generative AI model development.

Key AI Terms Mentioned in this Article

Generative AI

Generative AI refers to algorithms that can create new content, such as images or text, based on training data.

Exascale Computing

Exascale computing denotes systems capable of performing at least one exaflop, or one quintillion calculations per second.

High-Performance Computing (HPC)

HPC involves the use of supercomputers to process complex computations at high speeds, essential for AI model training.

Companies Mentioned in this Article

BMBF

The Federal Ministry of Education and Research funds initiatives like the Gauss AI Compute Competition to enhance AI research capabilities.

GCS

The Gauss Centre for Supercomputing supports the competition by providing access to high-performance computing resources.

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