Industry Sector
Education
Universities and research institutions need shared GPU capacity for research computing and AI coursework, without the unpredictable cost of pure cloud consumption. Embedica designs shared, multi-tenant clusters that departments can allocate by project and budget.
Typical workloads
- Shared HPC/GPU clusters with job scheduling (Slurm) across research groups
- Teaching-lab GPU nodes for ML and data-science coursework
- Grant-funded cluster builds sized to a fixed, one-time budget
- Campus data-center power and cooling retrofits for added GPU density
Planning a research computing or teaching-lab build?
