Is This You?
Hoonify AI is built for organizations that operate GPU infrastructure — not organizations that rent it. If you own the hardware, we give you the software layer to turn it into a business.
You have GPU capacity sitting underutilized
You operate GPU infrastructure — bare metal, colocation, or your own data center — and you want to offer AI API services to customers. Building the software stack yourself would take 6–9 months and ~$2M in engineering. You need a faster path to revenue on hardware you already own.
You need AI inference that never leaves your network
You work in defense, government, healthcare, or another regulated sector where data sovereignty is non-negotiable. You can't send inference requests to a hyperscaler API. You need rack-scale AI that runs entirely inside your secure perimeter — no outbound connections, no exceptions.
You need localized AI on hardware you control
You have workstations or compact GPU clusters and need to run AI inference on-site — not because of classified requirements, but because of compliance mandates, data residency rules, or operational constraints that make cloud-based inference a non-starter.
Three Paths. One Platform.
Every Hoonify AI deployment runs on the same platform — the same models, the same TurbOS® orchestration layer, the same operator control. What changes is the environment it runs in.
Launch AI APIs on Your GPU Infrastructure
For BM&S providers, colocation operators, and GPU infrastructure owners who want to monetize capacity by offering metered AI API services to their customers.
Secure, Air-Gapped AI for Regulated Environments
Rack-scale AI inference for defense agencies, national labs, and regulated enterprises where data sovereignty and air-gapped deployment are non-negotiable.
On-Site AI Inference for Sensitive Environments
Workstations and compact GPU clusters for localized AI inference where data residency, compliance, or operational requirements keep AI on-site.
How Operators Are Using Hoonify AI
Three scenarios. Three different environments. One platform.
“We had 200 H200s sitting at 18% utilization. We needed to offer AI API services to our enterprise customers without building a platform from scratch.”
A colocation provider with existing NVIDIA GPU capacity deployed Hoonify AI across their bare metal infrastructure. Within two weeks they had a live, multi-tenant AI API service with per-customer billing, model selection, and usage dashboards.
“Our network is completely air-gapped. We needed large language model inference inside a classified environment — and we couldn't touch a public API.”
A government integrator deployed Hoonify AI's Enterprise AI Infrastructure inside a classified facility with no external network connectivity. Model weights were loaded from a private internal registry. Zero outbound connections required post-install.
“HIPAA means patient data can't leave our environment. We wanted AI-assisted clinical tools but couldn't route inference through any third-party cloud.”
A regional healthcare network deployed Hoonify AI Private AI Systems on compact GPU clusters across multiple hospital sites. All inference stays on-site per facility.
Which Deployment Model Fits Your Environment?
Match your situation to the right deployment model below — or talk to our team and we'll figure it out together.
BM&S provider, colo operator, or GPU infra owner
Monetize GPU capacity with metered AI API services
AI Service PlatformSovereign cloud or regional cloud provider
Launch a domestic AI API service on locally owned infra
AI Service PlatformDefense agency, national lab, or intelligence org
Air-gapped, classified, or sovereign inference
Enterprise AI InfraRegulated enterprise — finance, healthcare, energy
Data sovereignty, compliance mandates, no egress
Enterprise AI InfraHospital, clinic, or life sciences organization
HIPAA-compliant inference, patient data stays on-site
Private AI SystemsEnterprise with compliance or data residency rules
Localized on-site inference, no cloud dependency
Private AI SystemsCommon Questions About Hoonify AI Solutions
Three models: AI Service Platform for commercial GPU monetization, Enterprise AI Infrastructure for air-gapped and classified environments, and Private AI Systems for on-site inference with strict data residency requirements.
Yes. Enterprise AI Infrastructure is purpose-built for fully air-gapped deployments. After installation, zero outbound internet connections are required. Model weights are sourced from a private internal registry.
Enterprise AI Infrastructure targets rack-scale deployments in classified or highly regulated environments. Private AI Systems targets workstation or compact cluster scale, driven by compliance or data residency requirements.
Most operators go live within two weeks. The Hoonify team handles hardware validation, TurbOS® installation, platform configuration, and initial tenant onboarding.
Yes. Any CUDA or ROCm-compatible GPU across all three models. NVIDIA H200, B300, GB200, RTX PRO 6000, and AMD MI350X, MI325X, MI300X. Mixed-vendor clusters are supported.
Ready to See Hoonify AI in Your Environment?
Tell us which situation matches yours — we'll route you to the right conversation.