Token factory infrastructure on sovereign GPUs
Turn your AI Factory into a self-service token factory
OpenNebula manages your GPU infrastructure, covering bare metal, virtualization, tenant isolation, and governance. Saturn Cloud adds the token factory platform layer on top, giving your tenants managed fine-tuning, OpenAI-compatible inference endpoints, per-token billing, distributed training, and managed environments.
Why OpenNebula + Saturn Cloud
Infrastructure you control. A development experience you don’t have to build.
OpenNebula gives AI Factory operators full ownership of their GPU cloud, including open source, vendor-neutral, built for sovereignty. Saturn Cloud gives those same operators a proven AI development platform they can deploy on top, instead of spending months assembling one internally.
No internal platform build
Most AI Factory operators solve the infrastructure problem and then face a second one: delivering managed fine-tuning, model serving, and inference to tenants and teams. Saturn Cloud eliminates that gap. Deploy a complete token factory platform on your OpenNebula cluster instead of building and maintaining one yourself.
Fine-tuning, serving, and inference out of the box
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.
Sovereignty preserved
Saturn Cloud runs on your infrastructure, in your data center, under your governance. No data leaves your environment. Compatible with European data residency requirements, air-gapped deployments, and regulated industries.
Open and vendor-neutral
OpenNebula's architecture avoids lock-in at the infrastructure layer. Saturn Cloud avoids it at the platform layer. The same development experience runs across GPU clouds or on-prem. Move workloads across environments without retraining your team.
How it works
Saturn Cloud on OpenNebula
Saturn Cloud
Fine-tuning · Inference endpoints · Per-token billing · Jobs · Deployments · Experiment tracking · Idle detection
OpenNebula
GPU virtualization · Multi-tenant orchestration · Bare-metal lifecycle · Governance
NVIDIA GPU infrastructure
GPU passthrough · NVLink · Multi-Instance GPU (MIG) partitioning · BlueField DPU offload · Spectrum-X networking
1. OpenNebula manages infrastructure
GPU scheduling, tenant isolation, bare-metal provisioning, and governance. Operators retain full control over hardware, networking, and security policies. Support for passthrough and vGPU configurations across NVIDIA GPU generations.
2. Saturn Cloud provides the platform
Deploys directly on OpenNebula-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. Engineers 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
OpenNebula + Saturn Cloud vs. building your own platform layer
Most AI Factory operators have solved the infrastructure problem. The platform layer is where months of engineering time disappear.
| Building internally | OpenNebula + Saturn Cloud |
|---|---|
| Months of engineering to assemble fine-tuning pipelines, inference serving, and billing infrastructure | Production-ready token factory platform deployed on your cluster in days |
| Custom auth integration, access controls, and resource management per team | SSO, RBAC, shared projects, and cost tracking included |
| Ongoing maintenance burden on your platform engineering team | Managed by Saturn Cloud, including updates, patches, and support |
| Inconsistent developer experience across teams and projects | Standardized workflows across every team and environment |
| GPU idle time from manual provisioning and no automatic reclamation | Automatic idle detection and shutdown with GPUs reclaimed when unused |
| Locked to a single infrastructure environment | Same Saturn Cloud experience on-prem, neocloud, or hyperscaler |
Built for AI Factory operators
Who this is for
Organizations that have solved the GPU infrastructure problem and need the platform layer on top.
Neocloud GPU providers
Offer tenants managed fine-tuning, model serving, and per-token inference on top of your OpenNebula-managed GPU fleet. Differentiate on platform quality without building one from scratch.
Enterprise AI teams on private infrastructure
Run training, fine-tuning, and inference on GPUs you own, in your data center, under your security policies, with a development environment your engineers actually want to use.
Sovereign and regulated environments
European data residency, air-gapped deployments, government and defense workloads. Infrastructure stays under your control. Saturn Cloud runs entirely within your perimeter.
HPC centers and research institutions
Give researchers self-service GPU access with proper resource management, experiment tracking, and reproducible environments, without exposing them to Kubernetes complexity.