Scaling AI education for hundreds of students with Backend.AI at KMU
Discover how Kookmin University built a scalable GPU-based learning platform with Backend.AI
“When we started with just three GPU servers, Backend.AI enabled 80+ students to run modeling exercises simultaneously by container-level GPU virtualization, all without dedicated administrative support.”
— Professor Yoonho Cho, AI, Big Data, and Convergence Management
Make education efficient with Backend.AI anywhere, anytime, at any scale.
The university faced the challenge of limited GPU availability, limiting concurrent usage. Supporting over 80 MBA students and hundreds of undergraduates simultaneously with only 16 GPUs required a scalable infrastructure capable of handling multiple instances without resource contention. KMU implemented Backend.AI, which virtualized 16 nodes of GPUs into hundreds of instances, enabling graduate and undergraduate students to engage in machine learning labs concurrently.
Related Services
Backend.AI is a vendor-agnostic accelerated workload hosting platform based on our own home-grown orchestration and job scheduler, running on top of either cloud or on-premises (air-gapped) clusters.
Explore service →
