
Rafay orchestrates GPU infrastructure, Kubernetes, and tenant provisioning. Saturn Cloud adds managed fine-tuning, OpenAI-compatible inference endpoints, per-token billing, distributed training, and managed environments on top.
Why Rafay + Saturn Cloud
Rafay already powers GPU PaaS for neoclouds and AI Factory operators worldwide. Saturn Cloud adds the token factory platform layer that turns that infrastructure into a revenue-generating AI service.
Most GPU cloud operators solve the infrastructure problem and then face a second one: delivering managed fine-tuning, model serving, and inference to their tenants and teams. Saturn Cloud eliminates that gap. Deploy a complete token factory platform on your Rafay-managed infrastructure instead of building and maintaining one yourself.
Engineers fine-tune open models (full-weight or LoRA), deploy to OpenAI-compatible inference endpoints, and meter usage per token. The platform also provides managed environments, distributed training orchestration, scheduled jobs, and experiment tracking, all from a single interface.
SSO, RBAC, SOC 2 compliance, and team-level access controls are built in. Saturn Cloud supports air-gapped and on-premises deployments for organizations with strict data residency or security requirements.
Rafay is among the first ISVs to earn NVIDIA AI Cloud-Ready validation. Saturn Cloud adds the token factory platform layer on top of that validated stack.
How it works
Saturn Cloud
Fine-tuning · Inference endpoints · Per-token billing · Jobs · Deployments · Experiment tracking · Idle detection
Rafay Platform
Kubernetes orchestration · GPU scheduling · Multi-tenant provisioning · Billing APIs · White-label portal
NVIDIA GPU infrastructure
H100 · H200 · B200 · B300 · GB200 NVL72
1. Rafay orchestrates the infrastructure
Bare-metal GPU servers become production-ready, multi-tenant Kubernetes clusters with automated provisioning, GPU scheduling, network isolation, and billing. NVIDIA AI Cloud-Ready validated.
2. Saturn Cloud provides the platform
Deploys directly on Rafay-managed Kubernetes clusters. Engineers self-service their own fine-tuning jobs, inference endpoints, and training runs. No YAML, no cluster administration, no DevOps bottleneck.
3. Tenants start shipping
Log in, pick a GPU, upload a dataset. Fine-tune a model, deploy it to an inference endpoint, and start serving tokens. Pre-configured with CUDA, drivers, and standard AI frameworks.
The difference
Rafay already solves the infrastructure orchestration problem. The token factory platform layer on top is where months of engineering time disappear.
| Without Saturn Cloud | With Saturn Cloud on Rafay |
|---|---|
| Months of engineering to assemble fine-tuning pipelines, inference serving, and billing infrastructure | Production-ready token factory platform deployed on your clusters in days |
| GPU idle time from manual provisioning and no automatic reclamation | Automatic idle detection and shutdown with GPUs reclaimed when unused |
| No built-in SSO, RBAC, or compliance tooling for enterprise tenants | Enterprise security with SSO, RBAC, SOC 2, and team-level access controls out of the box |
| Tenants interact with raw Kubernetes or custom-built tooling | Self-service interface with managed environments, training, fine-tuning, and deployments |
| Revenue limited to GPU hourly rates | Per-token billing and inference metering add higher-margin revenue streams |
| Differentiate on price alone | Differentiate on platform quality, security posture, and time to production |
Who this is for
Organizations that operate GPU infrastructure at scale and need a token factory platform to offer tenants and teams.
Neocloud GPU providers
Offer tenants managed fine-tuning, inference endpoints, and per-token billing on top of your Rafay-managed GPU fleet. Differentiate on platform quality without building one from scratch.
AI Factory operators
Combine Rafay’s infrastructure orchestration with Saturn Cloud’s token factory platform to take your tenants from dataset to deployed model to per-token revenue.
Sovereign and regulated environments
Deploy the full stack in sovereign data centers, government clouds, or air-gapped environments. Saturn Cloud supports on-premises GPU infrastructure with enterprise security built in.
Enterprise AI teams on private infrastructure
Run fine-tuning, model serving, and inference on GPUs you own, managed by Rafay, with Saturn Cloud handling the platform layer your engineers use daily.