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Case StudyNo. 11

Rebuilding a university research cluster for AI at scale

A rearchitected high-performance computing environment gave a public university's students, faculty and researchers enterprise-class AI compute without an enterprise price tag.

Challenge

An aging HPC cluster that could not keep pace with ML and AI research, serving the whole campus on a strict public budget that made an open-source software stack a firm requirement.

Solution

A ground-up rebuild: a new eight-GPU cluster, a 100-gigabit storage network, a fully open-source HPC stack, command-line and web-based workflows, a standardized environment and performance tuning.

Outcome

Roughly 2x faster job performance, validated side by side against the legacy cluster, with no software licensing fees and a follow-on order to extend the cluster.

Service
Project Services
Date
October 28, 2026
Pages
3
Industries
Higher education
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