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.
Launch your own AI Factory with token-metered access to models and APIs. Rafay’s Token Factory makes it easy to deliver AI as a service with built-in metering, pricing, and governance so you can monetize usage, not just infrastructure. See how quickly you can go from GPUs to revenue-ready AI services with this world-class capability.









Rafay offers the first-of-its-kind infrastructure orchestration and workflow automation platform that abstracts complexity and enables optimal developer productivity. By providing self-service consumption of environments and experiences, teams can effectively accelerate AI and cloud-native use cases for full lifecycle management.
Designed to operate in hybrid/multi-cloud and data center environments, the Rafay Platform simplifies provisioning, scaling, and the management of infrastructure at enterprise scale.

Monetize GPUs with GPU-as-a-service
Enable inference and AI tooling at scale
Launch branded clouds in sovereign or public environments

Self-service access for secure AI/ML workloads
Kubernetes automation across cluster fleets in multiple clouds
Support for air-gapped and regulated deployments

Unify AI infrastructure management
Enable cost visibility and workload segmentation
Accelerate time to value for developers

TELUS is the first North American telecommunications provider in the NVIDIA Cloud Partner Program delivering a fully validated AI stack. The AI Studio provides a self-service workspace where developers and data scientists can build, fine-tune, and deploy applications using NVIDIA NIM microservices, NVIDIA NeMo toolkits, and NVIDIA AI Blueprints orchestrated through the Rafay Platform.

Understand what it takes to deliver the right GPU infrastructure to your business.
