Building the Future of Intelligent Infrastructure
Learn more about our complete suite of services below — from high-performance compute to tailored AI solutions, each designed to help enterprises, researchers, and innovators accelerate their goals.
AIaaS
Applied AI Engineers on Campus
What it is: A resident team that designs, builds, and deploys AI solutions: data pipelines, model selection, fine-tuning, RAG, MLOps, and change management.
Why it matters: Many tenants have urgent use cases but limited in-house depth. AIaaS accelerates time-to-production and de-risks adoption.
What you get:
Fixed-scope packages or dedicated pods; secure project enclaves
Best-practice playbooks ported across industries
Tight loops with GPUaaS capacity and R1 cohorts for scale
Connected Campus fit: Engineers sit beside compute and users, turning ideas into production quickly.
GPUaaS
High-Performance Compute by the Hour
What it is: On-demand access to premium GPU servers in liquid-ready, high-density pods.
Optimized for training, fine-tuning, inference, and HPC—with enterprise isolation and research sandboxes.
Why it matters: AI demand is surging while capacity is scarce and power is volatile. Our behind-the-meter model stabilizes $/GPU-hr and shortens time-to-value for sponsors, startups, and research teams.
What you get:
Tiered machines (training/inference/HPC profiles) with secure tenancy
Low-latency adjacency to sponsor offices and R1 labs for rapid iteration
Usage analytics, cost controls, and procurement-friendly billing
Connected Campus fit: Powered by on-site generation; fed by R1 talent; consumed by colocated sponsors; monetized via hourly usage with committed minimums.
Colocation
Enterprise-Grade, AI-Ready Space
What it is: Traditional colocation done for the AI era—high-density racks, liquid-cool readiness, diverse fiber routes, and LDUPS-backed resilience.
Why it matters: Many enterprises want physical control with cloud-adjacent flexibility. We deliver performance and compliance, plus a straight-through path to GPUaaS when bursts are needed.
What you get:
Tiered machines (training/inference/HPC profiles) with secure tenancy
Strict security + compliance posture; metered power with predictable rates
Seamless “burst to GPUaaS” and private interconnects to tenant suites
Connected Campus fit: Offices and labs sit next door to the datacenter; workforce and AIaaS teams reduce integration friction and speed deployment. Industry leading physical security controls will be implemented to protect data.
Mixed Use
Development
A Community That Works 24/7
What it is: On-site housing for students, faculty, sponsors, and site staff, with curated retail/amenities that support a true live-learn-work district.
Why it matters: Proximity compresses innovation cycles, boosts retention, and turns the campus into a destination for events, recruiting, and partner residencies.
What you get:
Mixed-income units, short-stay corporate housing, and wellness-focused design
Retail that serves late-shift ops, study life, and visiting teams
Seamless access to labs, offices, and datacenter facilities
Connected Campus fit: People stay close to power and compute, which keeps the utilization flywheel spinning.
Sponsored Workforce
Development
The R1 Talent Engine
What it is: Co-developed programs with R1 universities and corporate sponsors: curricula, labs, residencies, and apprenticeships that operate on real production infrastructure.
Why it matters: Sponsors need hires who can ship on day one. Students want modern stacks and paid pathways. Universities need applied research and industry alignment.
What you get:
Sponsor-branded cohorts and certifications mapped to your tech stack
Shared labs linked to production GPUs for hands-on learning
Residency → offer funnels; reporting on outcomes and diversity
Connected Campus fit: Classrooms and sponsor offices attached to the datacenter; learners move from lab to production without leaving campus.
Cogen &
Energy Solutions
Enterprise-Grade, AI-Ready Space
What it is: On-site natural-gas generation paired with LDUPS for ride-through, peak-shave, grid resilience, and alternative power solutions leveraging existing infrastructure. Exploring SMR/XMR nuclear options as sites scale and regulations allow.
Why it matters: AI demand requires significant power. Expediting energization timelines and $/kWh unlocks faster build-outs, better SLAs, and durable margins.
What you get:
Rapid energization while expediting grid interconnects
Price stability and demand response options where applicable
Redundancy architecture aligned to workload criticality