AI Infrastructure, Built On Your Ground

Some workloads can't leave the building. Compliance requirements, data sensitivity, latency constraints, or organizational policy may demand that your AI compute lives on-site.

CubCloud Campus is CubCloud AI's infrastructure division, focused on designing, building, and delivering purpose-built AI compute environments at your location. From a single GPU node in a closet to a full micro data center on your property, Campus brings sovereign AI infrastructure to where your data already lives.

Start with a Discovery Session

Who This Is For

Organizations that need AI compute on their own premises but don't have the time, bandwidth, or specialized expertise to spec, source, build, and optimize GPU infrastructure for AI workloads.

  • Universities & CollegesResearch compute, AI curriculum, student labs, and FERPA compliance
  • Tribal NationsPurpose-built infrastructure for communities pursuing data sovereignty on their own terms
  • Hospitals & Healthcare SystemsHIPAA-regulated workloads, medical imaging, and patient data that cannot leave the building
  • State & County GovernmentCJIS compliance, public records, permitting systems, and law enforcement data
  • Research FacilitiesNational labs, private research institutions, and field stations with sensitive datasets and grant IP restrictions
  • Credit Unions & Community BanksFinancial regulatory compliance and a customer base that already values keeping things local
  • Law FirmsAttorney-client privilege, discovery documents, and case analysis on confidential data
  • K-12 School DistrictsFERPA compliance, AI education, and limited IT staff that need turnkey on-prem solutions
  • Mining, Timber & ManufacturingOperational AI, predictive maintenance, and remote sites with poor connectivity
  • Defense & Military-AdjacentCompliance-forward infrastructure for contractors and suppliers near active installations

Why On-Premise AI Compute

Your Data Stays Yours

When your infrastructure sits on your property, your data never crosses someone else's network. No multi-tenant environments. No shared storage. No third-party access policies to audit. You control the physical hardware, the network perimeter, and every byte that moves through it. For organizations handling regulated, privileged, or classified data, this isn't a feature. It's a requirement.

Long-Term Cost Advantage

Cloud compute bills compound. On-premise infrastructure is a capital investment that pays for itself. No per-hour GPU charges. No egress fees. No surprise invoices when your team runs a large training job. Once the hardware is installed, your marginal cost per inference drops to electricity and maintenance. Organizations running consistent AI workloads break even faster than most expect, and every month after that is savings.

Monetize Your Downtime (Optional)

Most on-premise GPU infrastructure sits idle for significant portions of the day. For organizations that choose to participate, CubCloud's intelligent compute resale system lets you sell unused capacity back through our network when you're not using it. All external workloads run in fully isolated containers with no access to your local data, storage, or network resources. Your server room generates revenue while your team sleeps. You stay in full control of when your hardware is available, when it's reserved for your own workloads, and whether you participate at all. Organizations with strict compliance requirements can keep this feature permanently disabled with no impact to their deployment.

What CubCloud Campus Delivers

Every Campus engagement starts with a site assessment and workload analysis. We evaluate your power, cooling, networking, and physical space, then design an environment matched to your AI objectives. All hardware is sourced, configured, stress-tested, and installed by our team. You own the infrastructure. We build it right.

  • Full site assessment covering power capacity, cooling, networking, and physical security
  • AI-optimized hardware selection and procurement (GPUs, networking, storage)
  • Thermal and power design for sustained GPU workloads
  • Rack layout, cabling, and installation
  • OS, driver, and software stack deployment
  • Performance validation and burn-in testing
  • Optional ongoing management through CubCloud AI's managed services
  • Documentation and knowledge transfer for your internal team

Booking discovery sessions for Q3 2026 deployments.

Four Tiers of Build

Starter Node

Starting at $4,995

A pre-configured AI workstation with a high-performance consumer or prosumer GPU, ready to run inference, local model development, or classroom AI workloads out of the box. We select the hardware, build and configure the system, install the software stack, and deliver it to your site. Ideal for K-12 classrooms, university labs, small teams testing on-prem AI for the first time, or any organization that wants to start small and scale later.

Typical deployment: 2-4 weeks from signed agreement to delivery.

On-Premise Compute

Starting at $49,995

A single-node or small-cluster GPU deployment installed at your site. Ideal for teams that need local AI inference, fine-tuning, or development capacity without building out a full server environment. We handle hardware selection, configuration, installation, and validation. You plug in and run.

Typical deployment: 6-12 weeks from signed agreement to operational hardware.

AI Server Room

Starting at $99,995

A dedicated, purpose-built server room within your existing facility. Includes thermal management, structured cabling, rack infrastructure, power distribution, and physical security planning. Designed for organizations scaling beyond a single node into multi-GPU production workloads, training pipelines, or departmental AI services.

Typical deployment: 12-20 weeks depending on site readiness and scope.

Micro AI Data Factory

Starting at $199,995

A standalone or modular AI compute facility on your property. Full environmental controls, redundant power, dedicated cooling, network architecture, and physical access management. Built for organizations that need data-center-grade AI capacity without leasing space in someone else's building. This is sovereign infrastructure at its most literal: your hardware, your land, your data.

Typical deployment: 16-32 weeks depending on facility requirements and permitting.

Start with a Discovery Session →

Every Campus project begins with a conversation about your workloads, your constraints, and your goals. No commitment required. We'll tell you what's realistic, what it costs, and how long it takes.

One Company, One Relationship

CubCloud Campus is the infrastructure arm of CubCloud AI. You sign one agreement, work with one team, and call one number when you need support. Campus builds your on-premise foundation. CubCloud AI can manage what runs on it, or your internal team can take the reins. Use one or both. Either way, your data never leaves your control.