Technology Infrastructure

Computation Research & Teaching Platform

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Data Storage

Computation Research & Teaching Platform

Challenge

Build an adaptable educational platform that is based on GPU accelerators in order to empower educational classes, tutorials, and workshops. Flexibility, mobility, and ease of access ought to be design considerations.

Solution

Deliver an end-to-end containerized platform based on Kubernetes, leveraging virtual GPU capability to provision the instructors' unique educational environments that can be scaled for flexible workloads.

This GPU-based, containerized platform makes it possible for KAUST to scale educational classes, seminars and tutorials while maintaining flexibility, security and availability. It also increases the speed at which academics may construct AI data analytics for their teaching.