Enterprise AI on Kubernetes you already manage
Run Saturn Cloud on SUSE Rancher Prime
Your IT team already manages Kubernetes with SUSE Rancher Prime. Saturn Cloud installs into those clusters and gives your AI/ML engineers notebooks, jobs, deployments, and experiment tracking — without adding infrastructure complexity.
Why SUSE + Saturn Cloud
Your Kubernetes team shouldn't have to become an ML platform team
Organizations running SUSE Rancher Prime have mature Kubernetes operations — multi-cluster management, security policies, observability, and compliance workflows already in place. What they don't have is a platform layer purpose-built for AI/ML workloads. Saturn Cloud provides that layer without requiring your infrastructure team to learn MLOps or your data scientists to learn Kubernetes.
Installs via Helm into existing clusters
Saturn Cloud deploys as Helm charts into any RKE2 or K3s cluster managed by Rancher Prime. No separate infrastructure to provision. Your existing cluster policies, network rules, and RBAC carry over.
NeuVector + Saturn Cloud RBAC
SUSE Security (NeuVector) handles container scanning and runtime protection. Saturn Cloud adds user-level access controls, SSO integration, and project-level isolation on top. Security at both layers.
Unified observability
SUSE Observability monitors cluster health, node performance, and resource allocation. Saturn Cloud adds GPU utilization tracking, idle detection, and per-user usage metrics — all exportable via OpenTelemetry.
Any cloud, on-prem, or edge
Rancher Prime manages clusters on AWS, Azure, GCP, bare metal, or edge locations. Saturn Cloud runs on all of them. Move AI workloads between environments without re-platforming.
How it works
Saturn Cloud on SUSE Rancher Prime
Rancher Prime manages the clusters
Provision and manage RKE2 or K3s clusters across any environment from a single dashboard. Configure NVIDIA GPU Operator for GPU-enabled nodes. Apply consistent security policies and network configurations across clusters.
Saturn Cloud installs as a platform layer
Deploy Saturn Cloud via Helm charts into Rancher-managed clusters. AI/ML engineers get JupyterLab, VS Code, scheduled training jobs, model deployments, and experiment tracking — all backed by the GPUs and storage already in your cluster.
Teams stay in their lane
Infrastructure engineers manage clusters through Rancher. Data scientists and ML engineers use Saturn Cloud. Neither team needs access to the other’s tools. RBAC, SSO, and audit logs span both layers.
Who this is for
Common deployment scenarios
On-prem AI for data sovereignty
Financial services, healthcare, and government organizations that can't send data to public cloud AI services. Rancher Prime manages on-prem GPU clusters with FIPS 140-2 compliance and CIS benchmarks. Saturn Cloud provides the AI development environment. Data never leaves your network.
Consistent AI platform across clouds
Organizations running workloads across AWS, Azure, and on-prem. Rancher Prime gives you a single control plane for all clusters. Saturn Cloud gives your AI team the same notebooks, jobs, and deployment experience regardless of where their GPUs are running.
White-label AI platform for customers
GPU providers and managed service providers using Rancher to orchestrate customer clusters. Saturn Cloud adds a self-service AI development layer so your customers get a hyperscaler-like experience on your infrastructure — without your team building a platform from scratch.
The difference
SUSE Rancher + Saturn Cloud vs. building it yourself
| DIY AI platform on Kubernetes | Rancher Prime + Saturn Cloud |
|---|---|
| Assemble JupyterHub, MLflow, Argo, KubeFlow, and custom YAML | Unified platform with one Helm install |
| Data scientists open tickets for GPU access | Self-service — launch GPU environments in seconds |
| No visibility into who’s using which GPUs | Per-user GPU tracking and automatic idle shutdown |
| Each team configures their own CUDA drivers and libraries | Pre-configured images with CUDA, PyTorch, TensorFlow |
| Manual Kubernetes manifests for every training job | Promote notebooks to scheduled jobs in the UI |
| Separate tools for experiment tracking and model deployment | Built-in experiment tracking and one-click model endpoints |
| 3–6 months to get a platform that works | Installed and running in under an hour |
When I sit down at the beginning of the day, I just want my environment to work. I want my favorite packages installed and available on demand. I want it to be easy to scale my workspace and have it shut down automatically when I’m done. Saturn Cloud solves all of that.
— Saturn Cloud customer