# Commercializing Telco Infrastructure

This playbook outlines a practical, phased approach for telecommunications providers to transform existing GPU infrastructure into a revenue-generating AI Factory in as little as 12 weeks. Instead of getting stuck in prolonged pilots or over-engineered architectures, it provides a clear path from initial planning through production launch and scale—anchored in delivering real, consumable AI services from day one.

By focusing on monetizable SKUs, parallel execution, and enterprise-ready operations, the guide helps telcos bridge the gap between infrastructure investment and business outcomes. The result is a production-grade, multi-tenant AI platform with integrated billing, governance, and self-service consumption—ready to support both internal teams and external customers at scale.

### What you’ll learn:

- How to go from deployed GPU infrastructure to a revenue-ready AI Factory in a structured 12-week rollout
- How to define and launch monetizable AI service SKUs, including inference endpoints and fractional GPU offerings
- How to operationalize multi-tenant AI platforms with billing, governance, and enterprise-grade support from day one

[View the report](https://cdn.prod.website-files.com/68d15699b1e46604cd1fe6a6/69d8126e82f19f617008492c_Commercializing%20Telco%20AI-Infrastructure%20in%2012%20Weeks.pdf)

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[View the report](https://mailto:Info@rafay.co/resources/white-papers/commercializing-telco-infrastructure)

### Featured Resources

**Telus launches a sovereign, developer-ready AI Studio powered by Rafay**  
One of Canada's largest telecom companies, Telus, launches a sovereign, developer-ready AI Studio powered by Rafay  
[Learn More](https://mailto:Info@rafay.co/resources/white-papers/resources/case-studies/canadian-telco-telus-delivers-sovereign-dev-ready-ai-studio-with-rafay)

**AI Token Factory**  
AI Token Factory extends the Rafay Platform to deliver AI services through APIs and token-metered consumption. Production-ready AI APIs run on GPU infrastructure while maintaining governance, multi-tenancy, and operational control. Token-metered consumption provides visibility into usage and enables internal chargeback or monetization models.  
[Learn More](https://mailto:Info@rafay.co/resources/datasheets/ai-token-factory)

**Building AI Value within Borders**  
Rafay's central orchestration platform facilitates efficient, self-service infrastructure and AI application management.  
[Learn More](/content/resources/accenture-whitepaper/index.html)

**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.  
[Learn More](/content/resources/white-papers/from-gpus-to-revenue-a-practical-guide-to-ai-factory-builds/index.html)