Most engineering colleges buy credits on a public cloud. It works, but a student only ever touches the top layer. They learn to use infrastructure and never to build it.
Vidyavardhaka College of Engineering in Mysuru has taken the other route. The college is building a private cloud lab ecosystem serving 22 laboratories over three years, with the first 14 engineering labs deploying now.
What is being built
The programme is engineered to production standards rather than classroom standards: enterprise Dell compute with dedicated storage, two NVIDIA L40S GPUs for AI and advanced computing, and redundancy across power, cooling, network and storage. Failover, load testing and storage rebuild have all been validated. It is sized for 500 to 600 students.
Why the architecture matters for teaching
Because the stack lives on campus, students can see how a GPU is shared across users, how a scheduler decides which workload lands where, and what happens when a model outgrows a single card. They deploy and fine-tune language models on campus infrastructure and train perception and control models for robotics.
No university can afford a high-end workstation for every student. Pooling compute centrally and scheduling it means compute once reserved for a few funded research groups opens up to the whole campus.
Every design decision came from Cloudtopiaa, where Tech4Biz designs and operates public and private cloud platforms and the data centre infrastructure beneath them, so the college can run this itself for years.