Build Fast on Crusoe GPUs + Full MLOps with Saturn Cloud
Launch notebooks, pipelines, and production services on the latest NVIDIA GPUs for a fraction of big-cloud cost.
Leading Companies Choose Saturn Cloud
Accelerate AI & ML with Crusoe
Launch Saturn Cloud from the Crusoe console into your VPC – no Kubernetes to manage. Run notebooks, jobs, and deployments on Crusoe GPUs while data and networking stay in your account. Optional to connect to AWS, Azure, GCP, or Oracle for storage and SSO. Compute stays on Crusoe. See docs here.
Core
CMK cluster, autoscaling node pools, Crusoe CSI-backed storage, and container registry access.
Network
High-bandwidth/low-latency fabric; regions: us-east1-a, us-west1-a.
Security
TLS endpoints, workload isolation, Kubernetes network policies, optional VPC, RBAC, encrypted storage.
Sustainability
GPU compute powered by stranded/renewable energy with large carbon and cost reductions.
High-performance GPUs
On-demand NVIDIA GPUs (H100/H200/A100) on Crusoe’s sustainable infrastructure, so you spin up fast and pay only for what you use.
Click-to-code workspaces
Launch JupyterLab or connect VS Code in seconds, then promote notebooks to batch jobs or REST endpoints with the built-in scheduler.
NVIDIA AI Enterprise ready
Use NeMo, RAPIDS, and NIM microservices to train, fine-tune, and serve—without extra setup.
Enterprise-grade security
Runs in your Crusoe account with customer-owned IAM and networking. SSO, private networking, shared projects, cost tracking, and encryption included.
Built For the Intense Demands of Enterprise ML at Scale
Saturn Cloud Enterprise provides a number of features that are valuable for both the DevOps and IT people setting up and maintaining the platform, as well as the data scientists using the platform.
Securely connect to data
All Saturn Cloud resources are in your cloud account.
Easy billing
Saturn Cloud appears as a line-item on your cloud bill.
Connected authentication
Use SSO sign on and connect to cloud users and roles.
Superior support
Get help the moment you need it.| Fully managed Enterprise Offerings | Standard | Premium | High Security |
|---|---|---|---|
| All data is kept within your Cloud account | |||
| Python and R workspaces with SSH access. | |||
| Dashboard, API and model deployments | |||
| Scheduled jobs | |||
| Installs into your Cloud account | |||
| Includes SSO with your IDP | |||
| Private deployment within your VPN | |||
| Installation into an existing VPC | |||
| Integration with on-premise infrastructure | |||
| Support for transparent proxies via certificate injection | |||
| Restrict IAM permissions used by the Saturn Cloud installer/updater | |||
| Ability to restrict access Saturn Cloud support and self-manage deployments | |||
| 24/7 emergency support for production issues | |||
| SLAs | |||
| Custom legal | |||
| Custom Integrations |
Custom Integrations are additional software installed and managed within your Saturn Cloud cluster. These are typically installed to meet security needs or augment the capacity of data science teams.
Examples include:
Security: Intrusion detection and response (CrowdStrike Falcon), Monitoring (Datadog), On-premise package repositories (Anaconda Server and Posit/RStudio Package Manager).
Data Science: Prefect, Dagster, Posit/RStudio Connect, Flyte, Weights and Biases, and Comet ML.
Getting started with Saturn Cloud Enterprise
Saturn Cloud can be installed in your cloud account in under a half an hour. As part of getting started we also can help customize the installation to exactly your company's security requirements, as well as onboard you data scientists with the tool
1. Install in cloud account
Install Saturn Cloud automatically through your cloud account or manually with a Docker container.
2. Customize
(optional)
Work with Saturn Cloud engineers to add customizations like LDAP authentication, internet-disconnect environments, custom VPCs and more.
3. Onboard users
Saturn Cloud data scientists will train your team on how to use the tool for your exact needs.
4. Use Saturn Cloud
Have your data scientists start making notebooks, deployments, and distributed clusters on the platform.
