The AI utility layer for universities.
One managed workspace to buy frontier-model access, allocate open-source model tokens, track usage by course and category — and eventually convert university GPU capacity into student token credits.
The problem
Universities are adopting AI, but access is fragmented. Students buy personal ChatGPT, Claude, Gemini or API plans. Departments have limited visibility into usage and spend. Faculty cannot easily allocate AI budgets by course or assignment. Open-source model usage is hard to manage at campus scale — and university GPU capacity sits separated from student-facing AI access.
LLMCloud turns AI access into a governed academic utility: subscriptions, tokens, visibility and campus compute credits in one managed organization.
90-day pilot
Beta- · Start with one department
- · 250–1,000 students
- · Selected frontier plans + open-model token budget
- · Faculty dashboards, usage categories and spend caps
- · End-of-pilot impact report
What the program includes
University AI Org
A managed LLMCloud organization with SSO/SCIM, student cohorts, faculty and admin roles, course workspaces, department budgets, policy controls and usage dashboards.
Frontier plan management
Centrally manage approved frontier-model access for students and faculty where provider terms allow. LLMCloud becomes the visibility and governance layer across AI subscriptions.
Open model token wallet
Purchase open-source model tokens for coursework, coding labs, AI/ML classes, research projects, agent experiments and hackathons. Budgets assigned by course, student group or department.
Usage intelligence
Spend by department, usage by category, model mix, course-level adoption, student and faculty activity, API usage, cost per student and token burn by assignment type.
Campus GPU → token credits
In Phase 2, bring your own GPU clusters online. LLMCloud deploys TokenFactory on campus capacity, meters generated tokens and credits them back to the university.
Private campus AI
A pathway to sovereign, region-locked inference for sensitive research and student data, on our metal or yours.
Why universities care
How does this relate to the hosted fleet?+
The university wallet draws on the same hosted open-model fleet and the zero-margin gateway. Frontier plans are managed centrally; open-model tokens are billed at published per-token rates.
Can we cap spend per course or student?+
Yes. Budgets and spend caps are assigned by course, student group or department, with dashboards for faculty and program heads.
What is TokenFactory on campus GPUs?+
A Phase 2 offering: LLMCloud deploys its serving stack on university-owned GPU clusters, meters the tokens generated and credits them back to the university's wallet — turning idle compute into student AI access.
How do we start?+
With a 90-day pilot in a single department: 250–1,000 students, selected frontier plans, an open-model token budget, faculty dashboards and an end-of-pilot impact report.