From GPUs to Revenue: A Practical Guide to AI Factory Builds
This white paper breaks down what it actually takes to turn GPU investments into measurable business outcomes.
The RAFAY PLATFORM - For neoclouds
The World's Leading Neoclouds Run on 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.
Common Use Cases
GPU Cloud Services
Offer bare metal, Kubernetes, and virtual clusters as SKUs with instant provisioning.
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AI and GenAI Applications
Monetize inference, RAG pipelines, and vertical industry AI agents with turnkey catalogs.
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Model-as-a-Service
Expose inference APIs with token-based billing and recurring revenue models.
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Trusted by leading enterprises, neoclouds and service providers
Supporting Features
Multi-Tenancy & Governance
Manage multiple organizations, teams, and users with fine-grained isolation and policy controls.
Self-Service Access
Empower developers and data scientists with on-demand environments, without IT bottlenecks.
SKU Automation
Standardize small, medium, and large GPU/CPU packages for seamless consumption.
Billing & CRM Integration
Track usage, enable chargeback, and connect to existing billing systems and CRMs.
Featured Resources
Other
The Definitive GPU PaaS Reference Architecture
Understand what it takes to deliver the right GPU infrastructure to your business.
