A need for advanced GPU resource management at the University of Southern California Center for Advanced Research Computing
Solving campus-wide HPC infrastructure challenges with Backend.AI
“If students cannot truly make use of the resources their school provides, then those resources do not truly serve the students. Backend.AI is an AI infrastructure operating platform that makes institutional resources both manageable and accessible.”
— Associate Chief Research Information Officer BD Kim
Make infrastructure managable with Backend.AI anywhere, anytime, at any scale.
The University of Southern California (USC) experienced high demand for sharing CPU-based computational infrastructure at the departmental level, where resources could be allocated immediately upon request. By using Backend.AI’s container-level GPU virtualization, dynamic allocation of computing resources based on real-time demand across labs, groups, and courses is enabled.
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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.
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