Sovereign Cloud for Applied Research & Teaching
R1 universities and research-driven institutions are under pressure to do more with complex, sensitive data—clinical, student, sponsor, and CUI—while accelerating AI-driven discovery. That requires research-grade, AI-ready infrastructure that keeps data and compute together under university control.
What Universities & Higher Education teams get from LPC
Each estate is scoped around the AI, data, and governance pressures unique to this sector—so capacity, controls, and economics stay aligned.
Research-grade GPU fabrics
Water-cooled, multi-GPU nodes keep PHI, FERPA, and CUI datasets inside campus custody while training at scale.
Unified academic + research platform
Give classes, labs, and sponsored projects a policy-aware platform for AI without fragmenting infrastructure.
Campus-aligned governance
Federated identity, immutable logs, and delegated admin align with IRB approvals, DUAs, and grant reporting.
Design choices that match Universities & Higher Education
We start with your regulatory envelope, workload map, and economics targets so the resulting sovereign cloud is immediately usable.
Protect sensitive data estates
Keep medical, student, and export-controlled workloads on infrastructure that never leaves university custody.
Flex capacity across programs
Pool GPU resources across colleges, centers, and PIs without the latency or quota caps of public cloud.
Plan around grant and capital cycles
Deterministic leases and lifecycle services simplify budgeting for sponsored research and modernization campaigns.
What matters most for this sector
A quick snapshot of outcomes, controls, and why teams choose LPC for regulated AI programs.
Key outcomes
- Run large-scale training, simulation, and experimentation on PHI, FERPA, and CUI datasets without exporting them to multi-tenant clouds.
- Support applied AI and ML courses on the same platform used for sponsored research.
- Give PIs and centers a consistent environment to take projects from idea to publication and, eventually, to translation or commercialization.
Compliance fit
- Secure research enclaves mapped to IRB/DUA rules, with federated campus identity and immutable access/change logs.
- Alignment with HIPAA, FERPA, and NIST 800-171 export-control expectations for applicable projects.
- AI-ready, water-cooled, high-density platforms built for demanding models, with governance and sovereignty planned from day one.
Why LPC
- Keep medical, student, and export-controlled workloads on infrastructure that never leaves university custody.
- Pool GPU resources across colleges, centers, and PIs without the latency or quota caps of public cloud.
- Deterministic leases and lifecycle services simplify budgeting for sponsored research and modernization campaigns.
AI workloads unlocked by sovereign density
Purpose-built GPU estates keep data, models, and operations under clear jurisdictional control.
- Run large-scale training, simulation, and experimentation on PHI, FERPA, and CUI datasets without exporting them to multi-tenant clouds.
- Support applied AI and ML courses on the same platform used for sponsored research.
- Give PIs and centers a consistent environment to take projects from idea to publication and, eventually, to translation or commercialization.
Controls engineered for Universities & Higher Education
LPC integrates physical, logical, and operational controls from the first design review so regulated workloads are ready on day zero.
- Secure research enclaves mapped to IRB/DUA rules, with federated campus identity and immutable access/change logs.
- Alignment with HIPAA, FERPA, and NIST 800-171 export-control expectations for applicable projects.
- AI-ready, water-cooled, high-density platforms built for demanding models, with governance and sovereignty planned from day one.