We’ve partnered with Rafay Systems to help GPU cloud operators do something their customers increasingly expect: turn raw GPU capacity into production AI services they can actually consume, on infrastructure the operator already owns and controls.
Selling GPU hours isn’t enough anymore. Operators, whether they’re neoclouds, telcos, sovereign AI providers, or enterprises running their own AI factory, are under pressure to offer more than bare access. Customers want ready-to-use services: managed development environments, fine-tuning, model serving, and inference endpoints they can hit through the API their code already targets.
Building that layer in-house is a real project. It means infrastructure automation, Kubernetes and SLURM operations, network and compute and organizational multi-tenancy, GPU scheduling, security, observability, model lifecycle management, metering, and billing. That’s a lot of engineering standing between an operator and their first billable AI service, and most of it doesn’t differentiate their business.
This is what the Rafay and Saturn Cloud integration is for. Rafay handles the infrastructure, Saturn Cloud handles the AI layer on top, and together they get an operator from GPUs to sellable services without building the whole stack themselves.
What Rafay handles
Rafay is the infrastructure operating layer for GPU clouds. Operators use it to orchestrate GPU infrastructure across data centers, cloud, hybrid, and sovereign environments, with secure multi-tenancy, self-service access, Kubernetes, SLURM, and VM orchestration, policy enforcement, usage metering, chargeback, and governed consumption across their fleet.
What Saturn Cloud adds
Saturn Cloud sits on top of Rafay-managed infrastructure as the platform layer. Tenants use it to spin up managed development environments, run distributed training, fine-tune open models, deploy them to standard inference endpoints, and meter usage at the token level. It’s the token factory layer, the part that turns served tokens into something an operator can price, bill, and sell.
Put together, an operator gets governed infrastructure underneath and production AI services on top, and their tenants get one consistent workflow.
Who it’s for
The integration is built for operators who want to move past GPU rental and offer something more complete. Practically, that means being able to:
- Deliver fine-tuning, model serving, and inference as managed services
- Offer standard inference endpoints on their own GPU infrastructure
- Give each tenant its own AI workspaces and development environments
- Keep control of security, governance, data residency, and infrastructure operations
- Track usage for chargeback, showback, or per-token monetization
- Get to market without taking on the cost and risk of building a custom AI platform stack
Getting started
Saturn Cloud is available to deploy on Rafay-managed infrastructure now. If you’re an operator who wants to offer production AI services on your own GPUs, get in touch and we’ll help you evaluate it. You can also read more about the joint stack on the Saturn Cloud + Rafay page.
