# Building an AI Factory
Learn how the Rafay Platform's Token Factory capabilities can monetize AI services.

[READ PRESS RELEASE](/content/press-release/rafay-systems-transforms-gpu-providers-into-ai-factories-by-empowering-them-to-monetize-token-metered-access-to-ai-models/index.html)

# The RAFAY PLATFORM - For Neoclouds
## Build, Operate and Monetize a Neocloud with Rafay
Neoclouds use the Rafay Platform to launch CSP-grade services without building from scratch. The Rafay Platform delivers everything required to operationalize and monetize GPU infrastructure: self-service consumption, multi-tenancy, SKU automation, billing APIs, and a white-labeled portal, to turn GPU investments into revenue-ready clouds in weeks.

## What Is a Neocloud Provider?
A neocloud provider is a specialized cloud provider built primarily to deliver accelerated computing and AI services. Neoclouds typically offer GPU infrastructure, packaged compute environments, AI development platforms, and inference services optimized for training, fine-tuning, and production AI workloads.

## AI Services You Can Launch with Rafay

### GPU Infrastructure Services
Deliver bare metal and GPU capacity through governed, self-service workflows with automated provisioning, tenant isolation, inventory management, and usage tracking.

### Packaged Compute Services
Offer virtual machines, Kubernetes, virtual clusters, SLURM, containers, and fractional GPU configurations as standardized, reusable SKUs.

### AI Development Environments
Provide developers and data scientists with notebooks, workbenches, training environments, fine-tuning workflows, and curated AI tools.

### Model and Token Services
Expose models through governed APIs with tenant controls, usage metering, rate limits, and token-based billing.

## Core Capabilities for Neocloud Providers
### Multi-Tenancy & Governance
Manage multiple organizations, teams, and users with fine-grained isolation and policy controls. Enforce quotas, role-based access, and security policies across every tenant while maintaining centralized visibility and governance.

### Infrastructure and Workload Orchestration
Automate server provisioning, networking, storage integration, and lifecycle operations across bare metal, virtual machines, Kubernetes, SLURM, and AI workloads.

### Self-Service Access
Empower developers and data scientists with on-demand environments, without IT bottlenecks. Accelerate onboarding and reduce manual provisioning by delivering approved services through APIs or branded self-service portals.

### SKU Automation
Standardize small, medium, and large GPU/CPU packages for seamless consumption. Package infrastructure into reusable service offerings that simplify provisioning, improve consistency, and speed up service delivery.

### Billing & CRM Integration
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