[Chonnam National University] Building an Integrated AI Development Platform for the Digital Innovation Shared University Program

Through the Digital Innovation Shared University program, Chonnam National University built an integrated AI development platform to provide an AI education and development environment that multiple universities and companies can use together. The platform enables simultaneous hands-on work by many users, digital asset sharing, and user and resource management at the consortium level.

An AI Education and Development Environment for a Consortium

Through the Digital Innovation Shared University program, Chonnam National University aimed to share educational resources distributed across multiple universities and build a collaborative system to develop AI specialists and AI+X talent. This required an AI development environment, asset sharing, and user and resource management that seven consortium universities and corporate users could use together.

Securing an Operating Framework for Joint Use by Multiple Institutions

The key challenge was to let users from multiple universities and companies access the platform simultaneously and develop independently, while sharing assignments and digital assets and managing them efficiently.

  • Simultaneous access: An AI development environment that students and faculty from seven consortium universities can use at the same time

  • Digital asset sharing: A foundation for sharing diverse assets such as data, assignments, Jupyter Notebooks, and AI models

  • User and resource management: A management framework to efficiently run users and resources by university and assignment

Building an Integrated AI Development Platform for Consortium Operations

With Cheetah, we provided independent development environments that support simultaneous access by many users, along with digital asset sharing and group-based user and resource management.

  • Multi-tenant development environment: An environment where many users can access the platform at once and develop AI independently

  • AI asset sharing: An environment to freely share and immediately use data, Jupyter Notebooks, AI models, and more

  • Group-based management: More efficient user operations through group creation and resource allocation by university and assignment

More Efficient AI Education and Hands-on Training Across the Consortium

Chonnam National University built an AI platform shared by seven consortium universities and companies, enabling AI assignments from diverse industries to be shared and students to quickly set up the environments they need for hands-on work. Administrators can also efficiently manage groups and resources by university and assignment, improving the efficiency of AI education and training across the consortium.

  • Easier access to hands-on work: Students can choose AI libraries and frameworks for their assignments and quickly set up development environments

  • Better asset use and collaboration: Joint practice and collaboration through shared assignments and digital assets

  • More efficient operations: A more advanced consortium operating framework through group management and resource allocation by university and assignment

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