By industry
Higher Education
Campus demand splits in two: research that is hungry for GPUs, and day-to-day academic services. Both can run on one stack, with resources allocated per faculty.
By industry
What can be done
Shared GPU cluster for research
One cluster used in turn by several faculties, with scheduling, resource isolation, and per-group usage accounting.
Academic knowledge assistant
Academic guides, library collections, and student service procedures become one entry point that respects each role access rights.
AI teaching facilities for students
Campus workstations and servers carry practicals and final projects, so students do not need a cloud subscription for every experiment.
Code assistant for computing programmes
Runs inside the campus, so assignment code and teaching material never become input to an outside service.
Higher Education
Dell equipment used
- PowerEdge XE9780 for model training and research computing
- Dell Pro Max with GB300 for laboratories and research faculty
- Dell Pro Max with GB10 for smaller research groups
- PowerScale and Dell Lightning File System for research data
- PowerSwitch Z-Series for the fabric between cluster nodes
Data and compliance note
Cluster usage is accounted for per faculty or research group, so cost sharing and grant reporting can be built from actual usage data.
Other industries
Talk through the application
Name one piece of work you want to speed up. We will build the configuration and the quotation from there.
