Elevate Your AI Factory. Run It on Rafay.

Rafay transforms GPU infrastructure into self-service, governed AI platforms that deliver applications and services at scale. With built-in usage tracking and monetization capabilities, organizations move from deploying GPUs to operating AI platforms.

Organizations have already invested billions in accelerated compute. But GPUs alone don’t create outcomes. Without a scalable operating model, infrastructure remains fragmented, underutilized, and difficult to consume.

The world’s largest AI factories succeed by turning infrastructure into a platform—where developers, data scientists, and customers can access AI environments on demand, with governance, visibility, and cost control built in from day one.

Rafay provides that operating layer.

What Is an AI Factory?

An AI Factory is an operating model that transforms GPU infrastructure into a self-service, multi-tenant platform for building, deploying, and delivering AI applications and services.

What Defines an AI Factory?

AI Factories extend beyond infrastructure. They introduce a consumption and operating layer with five core capabilities:

Self-Service AI Consumption
Developers provision compute, environments, and AI services on demand without tickets or manual setup.

Multi-Tenant Governance
Infrastructure is securely shared across teams, customers, or business units with isolation, access controls, and policy enforcement.

Standardized SKUs and Environments
Compute, AI workspaces, and applications are packaged into repeatable offerings that are deployed consistently across environments.

Integrated Usage Tracking and Cost Control
All usage is measured and attributed, enabling chargeback, cost visibility, and operational accountability.

AI Application and Model Delivery
AI Factories deliver not just infrastructure, but models, APIs, and applications that are consumed directly by developers and end users.

What Leading AI Factories Achieve

Organizations using Rafay to power AI factories unlock measurable outcomes:

Faster time from infrastructure to production AI services

Higher GPU utilization through shared, multi-tenant consumption models

Reduced operational overhead with automated lifecycle management

New revenue streams through AI services and marketplaces

By turning infrastructure into a platform, AI factories become engines for innovation and growth—not cost centers.

Proven in Production AI Factories

TELUS Launches a Sovereign, Developer-Ready AI Studio

Rafay powers real-world AI factories across telecom, cloud providers, and enterprises. For example, TELUS built a sovereign AI factory that enables developers to provision GPU-powered environments on demand, access curated model catalogs, and deploy production-ready AI services—all within a governed, multi-tenant platform.

This model is becoming the standard for AI infrastructure globally.

The Rafay Advantage

AI Factories require more than infrastructure orchestration. They require a complete operating model for how infrastructure is consumed, governed, and monetized. Rafay delivers this through four core layers:

The Orchestration Layer
Operationalizes GPU infrastructure

The Consumption Layer
Enables self-service AI access

The Governance Layer
Applies control and compliance at scale

The Monetization Layer
Tracks, attributes, and monetizes usage

Together, these layers transform GPU infrastructure into a fully operational AI Factory—ready to deliver AI applications and services at scale.

AI Factory vs Traditional AI Infrastructure

Turn Your Infrastructure into an AI Factory

Move beyond GPUs and clusters. Build a platform that delivers AI at scale.