With the 2024 Nobel Prizes in Physics and Chemistry both awarded to achievements in artificial intelligence (AI) and related fields, AI for Science (AI4S) has undeniably become the new generation of scientific research paradigms. Leveraging the AI4S paradigm and AI-empowered capability platform, scientists can significantly improve research efficiency and expand the frontiers of scientific understanding. This article begins by reviewing the evolution of scientific research paradigms and the development of computing infrastructure tailored for scientific research. It summarizes the evolution from supercomputing centers to intelligent computing centers, and ultimately to the emergence of AI computility grid. This paper explores the current technical challenges faced by AI computility grids and introduces two typical cases of how the computility grid, Info-Superbahn, empowers scientific research.

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AI Computility Grid—An Artificial Intelligence Empowered Scientific Research Platform

  • Ninghui Sun,
  • Sa Wang

摘要

With the 2024 Nobel Prizes in Physics and Chemistry both awarded to achievements in artificial intelligence (AI) and related fields, AI for Science (AI4S) has undeniably become the new generation of scientific research paradigms. Leveraging the AI4S paradigm and AI-empowered capability platform, scientists can significantly improve research efficiency and expand the frontiers of scientific understanding. This article begins by reviewing the evolution of scientific research paradigms and the development of computing infrastructure tailored for scientific research. It summarizes the evolution from supercomputing centers to intelligent computing centers, and ultimately to the emergence of AI computility grid. This paper explores the current technical challenges faced by AI computility grids and introduces two typical cases of how the computility grid, Info-Superbahn, empowers scientific research.