GPUs from GB300, GB200 to H100s – no queues, no contracts
GPU infrastructure that
scales with your AI
Nebius delivers NVIDIA GB300, GB200, H200, and H100 GPUs with instant availability and pay-as-you-go pricing. Saturn Cloud gives your team the notebooks, jobs, and deployment tools to start building immediately.
Pay only for what you use.
Why Nebius + Saturn Cloud
The cost efficiency of a neocloud with the platform experience of a hyperscaler
Nebius provides enterprise-grade GB300, GB200, H200, and H100 GPUs infrastructure at a fraction of big-cloud pricing. Saturn Cloud adds the MLOps layer that makes those GPUs actually productive for your team — without requiring anyone to manage Kubernetes, write YAML, or wait in provisioning queues.
H100s for $2.95/hr
Skip GPU queues and run workloads instantly — training, fine-tuning, inference. No contracts, no minimums. Spin up and shut down as needed.
End-to-end MLOps in one place
JupyterLab, VS Code, job scheduling, experiment tracking, and CI/CD-ready deployments. Build, iterate, and ship models without switching tools.
Enterprise security and compliance
Nebius VPC isolation, IAM, and encrypted storage — all surfaced inside Saturn Cloud. SSO, private networking, and RBAC included.
Zero lock-in, full flexibility
Keep existing AWS or Azure workloads running while spinning up projects on Nebius when cost or performance demands it. Same Saturn Cloud experience across clouds.
How it works
Saturn Cloud on Nebius
Launch from the Saturn Cloud dashboard
Log in and click "New Python Server." Pick your GPU type, image, and storage. Your workspace is running in seconds — pre-configured with CUDA, drivers, and your preferred libraries.
Nebius handles compute and networking
GPUs on high-bandwidth, low-latency fabric. VPC isolation, IAM controls, and encrypted storage keep your data secure. Compute stays on Nebius while you optionally connect AWS, Azure, GCP, or Oracle for storage and SSO.
Saturn Cloud handles the platform
Build and iterate in Jupyter or VS Code with Nebius-backed storage. Track and compare experiments automatically. Deploy as a scalable microservice or batch job — no YAML wrangling.
The difference
Nebius + Saturn Cloud vs. DIY on a hyperscaler
| DIY on AWS / GCP / Azure | Nebius + Saturn Cloud |
|---|---|
| H100s at $10+/hr with capacity queues | H100s at $2.95/hr, available on demand |
| Provision and manage your own Kubernetes cluster | Managed infrastructure — click to launch |
| Assemble notebooks, tracking, deployments from separate tools | Unified MLOps stack out of the box |
| Write custom YAML for every training job | Promote notebooks to jobs and endpoints in the UI |
| No built-in idle detection — GPUs bill 24/7 | Automatic shutdown after configurable idle period |
| Locked into one cloud provider's ecosystem | Run on Nebius, keep existing cloud workloads elsewhere |
| Long-term contracts or reserved instances for pricing | No contracts, no minimums — pay per use |
Saturn Cloud resolved my demand for high-performance cloud GPUs and it significantly saved me time. My performance increased by double compared to my previous experience.
— Sara F, Developer