You Have the Hardware.
The Software Is the Hard Part.
GPU infrastructure owners face a brutal tradeoff: build a full AI service stack in-house and wait 6–9 months before generating a dollar, or find a faster path to monetization.
What Does Hoonify AI Do?
The software layer between GPU hardware and customers who consume AI services. It abstracts model deployment, tenant isolation, API management, and usage billing into a single operator-controlled platform.
Deploy Models on Your Hardware
Stand up frontier open-source and licensed models on any CUDA or ROCm GPU in minutes, not months.
Serve Multiple Tenants
Isolate customers with dedicated API keys, rate limits, and usage quotas — all from a single control plane.
Meter, Bill, and Report
Track token-level consumption per tenant, generate invoices, and export usage data to your billing stack automatically.
Why Hoonify AI Performs
High-throughput, low-latency inference built on a foundation designed for production HPC workloads at gigawatt scale.
GPU Scheduling
Intelligently routes inference requests across heterogeneous GPU configurations without manual allocation.
Model Loading
Manages model weights in VRAM with intelligent caching, hot-swapping, and pre-loading to minimize cold starts.
Inference Operations
Continuous batching, KV-cache management, and request queuing for low-latency, high-throughput inference.
Workload Balancing
Distributes load across nodes dynamically, avoiding memory saturation and maintaining SLA targets under bursty demand.
What Models Can Hoonify AI Deploy?
Open-source, commercially licensed, and private models. Operators control which models are available to which tenants.
Community Models
Llama, Mistral, Falcon, Qwen, and other open-source models from Hugging Face. No licensing friction.
Licensed Models
Commercially licensed enterprise models you integrate to meet specific capability or compliance requirements.
Private Models
Fine-tuned or LoRA-adapted checkpoints from a private registry. Per-tenant model access with full isolation.
How Does Hoonify AI Manage Tenants?
Full tenant lifecycle — from onboarding through quota management, usage reporting, and billing.
Onboard & Provision
Create a tenant org, assign API keys, and configure which models and GPU resources they can access.
Set Quotas & Tiers
Define rate limits, token budgets, and priority tiers. Premium tenants can be routed to dedicated GPU capacity.
Monitor Usage
Live dashboards track per-tenant token consumption, request volume, latency percentiles, and error rates.
Invoice & Report
Auto-generate invoices from metered usage data. Export to Stripe, CSV, or your own billing system via webhook.
How Does Hoonify AI Handle API Access and Usage?
A complete API management layer — from key issuance to rate limiting to invoicing. Every inference request is metered, attributed, and available for real-time reporting.
API Key Management
Issue, rotate, and revoke API keys per tenant. Each key carries its own scopes, quotas, and permission sets.
Usage Metering
Every request counted at the token level — input, output, and cached tokens tracked separately per model, per tenant.
Rate Limiting
Per-key and per-tenant rate limits enforced at the gateway. Burst allowances, cooldown windows, and configurable limits.
Access Policies
Define which models each tenant key can access, allowed request types, IP allowlists, and time-window restrictions.
Usage Reporting
Exportable usage reports by tenant, time range, model, and endpoint. Native Stripe integration and webhook delivery.
Audit Trails
Full request-level audit log per tenant. Supports compliance for ISO 27001, SOC 2, FedRAMP, and HIPAA environments.
Does Hoonify AI Support On-Premises Deployment?
Yes — on-premises is the primary deployment target. The entire platform runs on your hardware, in your environment, with no cloud dependency.
Built for Operational Simplicity at GPU Scale
From bare metal to a live, multi-tenant AI API service in under two weeks.
Hardware Validation
Hoonify team validates your GPU inventory, network topology, and storage configuration.
TurbOS® Install
Deploy on bare metal or VM. GPU drivers, CUDA/ROCm runtime, and cluster networking configured.
Platform Configuration
Load models, configure tenant tiers, set up API gateway rules, and connect your billing system.
Go Live
Onboard your first tenants, issue API keys, and start serving inference traffic from your infrastructure.
Common Questions About the Hoonify AI Platform
TurbOS® is Hoonify's HPC orchestration engine. It handles GPU scheduling, model loading, workload balancing, and inference operations — providing the performance foundation that Hoonify AI's service platform is built on.
Any open-source model from Hugging Face, commercially licensed models, and custom fine-tuned or LoRA-adapted checkpoints from a private registry. Operators control which models are available to which tenants.
Yes — on-premises is the primary deployment model. Hoonify AI runs entirely on your hardware with no cloud dependency. It supports fully air-gapped environments, bare metal installation, private model registries, and integration with your existing identity providers.
Each tenant gets isolated API keys, usage quotas, rate limits, and model access policies. Tenants can optionally be pinned to dedicated GPU partitions for hard isolation. All usage data, invoicing, and audit logs are scoped to the individual tenant.