Build, operate and monetize a telco AI cloud with Rafay
Telcos already own the sites, power and fiber that AI inference needs. The Rafay Platform turns them into governed AI services you can price, meter and bill.
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What is a telco AI cloud?
A telco AI cloud is an AI platform that a telco runs on its own distributed infrastructure. It sells GPU capacity, AI development environments and model inference to enterprise and government customers as governed, self-service services, priced by what they use.
The assets inference needs are the assets telcos already own.
Each AI model call is a round trip. Latency, data residency and trust decide who serves it. The Rafay Platform supplies the software layer that makes these assets consumable as AI services.
Distributed sites and power
Central data centers, regional facilities and edge points of presence become one GPU fleet, operated from a single control plane.
Network proximity to users
Model endpoints run close to the people, devices and agents that call them, so AI applications respond faster.
Sovereign trust and enterprise accounts
Government and regulated customers already buy from you. AI services can join the same contract and the same invoice.
Telcos across the globe are building AI clouds on Rafay
More operators are turning their networks into AI service businesses with the Rafay Platform. Here is what it gives them.
Climb the value chain
Move beyond ARPU-based connectivity services to GPU-as-a-Service and, ultimately, to AI platforms delivering inference, training, and enterprise-ready capabilities on the same infrastructure.
Monetize existing infrastructure
Expose distributed data centers, edge sites, and GPU capacity as programmable, elastic services. Package compute and AI into standardized offerings and establish repeatable, high-margin recurring revenue.
Meet sovereign and compliance requirements
Apply identity, access, policy, quota, and audit controls consistently across in-region and air-gapped environments. Serve regulated and mission-critical workloads for government, healthcare, and financial services customers with confidence.
Achieve faster time-to-revenue
Launch AI services in weeks with Rafay’s multi-tenant operating layer, metering engine, and billing integration, and skip the months a from-scratch platform build would take.
Start with GPU capacity. Grow into token-metered AI services.
Each step adds higher-value services on the same fleet, with no re-platforming between steps.
Sell GPU capacity as a service
Bare metal, virtual machines, Kubernetes and SLURM, packaged as standard offerings with tenant isolation and self-service ordering.
Offer AI platform services
Notebooks, training and fine-tuning environments and curated AI tools that developers start on their own, under your brand.
Sell inference by the token
Model APIs with tenant controls, rate limits and token metering, deployed across core and edge sites as a token delivery network.
Price AI by the token, the unit your customers budget in.
Token-metered serving can earn several times more revenue per GPU than hourly rental, because each gain in throughput on the same GPUs becomes revenue and margin. Rafay Token Factory meters every token and feeds the usage into your billing systems.
What the Rafay Platform gives your telco AI cloud
Multi-tenancy and governance
Isolate every enterprise, government tenant and team, with quotas, role-based access, data residency and security policy, all visible from one place.
Learn moreInfrastructure and workload orchestration
Automate provisioning, networking, storage and lifecycle for bare metal, VMs, Kubernetes, SLURM and AI workloads, at central and edge sites.
Learn moreSelf-service access
Give developers and data scientists on-demand environments through APIs or a branded portal, without waiting on operators.
Learn moreToken metering and monetization
Meter usage and tokens, sell on-demand, subscription or reserved plans, and send billing data to your billing and CRM systems.
Learn moreSovereign and edge deployment flexibility
Run the control plane in-region, at the edge or fully air-gapped, with every site under one control plane.
Learn more
TELUS launches a sovereign, developer-ready AI Studio on the Rafay Platform.
Self-service GPU compute, curated model catalogs, reusable blueprints, governance and usage metering, delivered to Canadian developers from in-country infrastructure.
Read the case studyTurn your points of presence into a token delivery network.
A token delivery network places model endpoints across many sites, close to the users, applications and agents that call them. Tokens are allotted centrally and consumed across the network, so you keep one point of governance and your customers get faster responses.
Go deeper
Frequently Asked Questions About Telco AI Clouds
Learn how telcos build, operate, and monetize AI clouds on their own infrastructure with Rafay.
A telco AI cloud is an AI platform that a telecommunications provider builds on its own distributed infrastructure to deliver GPU capacity, compute environments, AI development tools, and model inference as governed, self-service services. It lets telcos move beyond connectivity revenue and monetize AI directly, often within their own national or regulatory borders.
Rafay lets telcos package infrastructure and AI into standardized SKUs and price them through flexible consumption models, including on-demand, subscription, and reserved. Built-in usage metering and token-based billing turn consumption into revenue, and usage data feeds directly into billing and CRM systems. Operators can offer foundation, compute, and AI SKUs on the same fleet, shifting their revenue mix toward higher-margin AI services without re-platforming.
Selling AI output rather than GPU hours matches how enterprises actually consume and budget for AI. NVIDIA's analysis shows the same physical GPU can generate several times higher annual revenue when monetized per token rather than per GPU hour. In a token model, gains in tokens-per-second and cost-per-token from newer platforms show up as more revenue and better margins on the same footprint, rather than pressure to cut hourly prices.
Telcos can typically reach their first billable AI services in weeks using the Rafay Platform, compared to the many months a from-scratch build would require. Rafay provides the multi-tenant operating layer, self-service portal, SKU design tools, metering engine, and billing integration that operators would otherwise assemble themselves. Once running, operators can expand the service catalog without re-platforming.
Yes. The Rafay control plane and platform components can be deployed in private, in-region, restricted, edge, or fully air-gapped environments to meet data residency, security, and regulatory requirements, while keeping distributed capacity under a single control plane.
Yes. The Rafay Platform supports full white-label customization, so telcos can present the self-service portal entirely under their own brand. Logo, colors, domain name, and product name are configurable, delivering a branded, hyperscaler-style experience to end customers without building a portal from scratch.
Rafay enforces hard multi-tenancy so many customers can share one GPU fleet without sharing data, network access, or blast radius. Each tenant operates with its own quotas, role-based access, and policy controls, while operators govern the entire fleet from a single control plane, with performance isolation that prevents noisy-neighbor effects.
Operators can deliver bare metal, virtual machines, Kubernetes clusters, SLURM clusters, AI workspaces, applications, Model-as-a-Service offerings, and token-metered AI APIs through a governed, self-service platform.
