[Myongji University] Adopting an Integrated Development Platform for Industry-Academia AI Projects

Myongji University's Department of Information and Communication Engineering adopted an integrated AI development platform that supports both in-person and remote collaboration, to run its smart cloud AI track and industry-academia projects.

A Development and Collaboration Environment for Industry-Academia AI Education

Myongji University needed an AI development environment usable from anywhere to run capstone design and industry-academia projects carried out jointly by partner companies and students. It also required a foundation to systematically manage libraries and frameworks for the AI track and immediately connect additional infrastructure resources.

Securing a Collaborative AI Development Environment and Resource Operations

The key challenge was to provide a collaborative environment where students and partner companies could work on projects together, and to operate AI development environments and infrastructure resources efficiently.

  • In-person and remote development: An AI development platform for flexibly running capstone design and industry-academia projects

  • Library and framework management: Version-specific management of AI libraries and frameworks for the AI track

  • Infrastructure integration: A foundation to immediately connect additional resources such as GPU servers and storage to the AI development environment

Providing an Integrated AI Development Platform for Industry-Academia Collaboration

With Cheetah, we provided an AI development and learning environment with collaboration features accessible anytime, anywhere, along with version-specific library management, resource integration, and GPU server consulting.

  • Collaborative AI development environment: An environment for in-person and remote AI development and collaboration with just an internet connection

  • Version-specific development environments: Diverse development environments with AI libraries and frameworks built in by version

  • Resource integration and buildout: Easy integration of additional resources, plus consulting on GPU server buildout

More Efficient Industry-Academia AI Projects

Myongji University now has a foundation where students and partner companies can quickly set up AI development environments anytime, anywhere, and carry out project work and collaboration remotely. Simplified data management and resource integration also reduced operations and maintenance burdens, allowing a greater focus on AI development projects.

  • More efficient project collaboration: Students and partner companies can build and collaborate on AI projects remotely

  • Faster environment setup: AI development environments ready within one minute, improving lab and project efficiency

  • Lower operating burden: Immediate integration of additional resources reduces management and maintenance time and costs

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