H2O Driverless AI vs Saturn Cloud
H2O Driverless AI
h2o.aiSaturn Cloud
saturncloud.ioSide by side
| Figure | H2O Driverless AI | Saturn Cloud |
|---|---|---|
| Price from | — | $0.09/mo |
| Free plan | — | Yes |
| Free trial | Yes | — |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | Yes | — |
| macOS | Yes | — |
| Linux | Yes | — |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 1 | 5 |
| Spec score · Data Science and Machine Learning Platforms | 7.8 (#8) | 7.6 (#9) |
| Headquarters | Mountain View, California, United States | New York, NY, United States |
Plans
Saturn Cloud
- Hosted$0.09 a month
- Hosted Free PlanFree
- EnterprisePriced on request
- GPU cloud operatorsPriced on request
- Hosted ProPrice not published
In their own words
H2O Driverless AI
H2O Driverless AI automates machine-learning work from feature engineering and model building through validation, tuning, selection, visualization, interpretability, and scoring-pipeline generation. It explains model output at both global and individual-prediction levels. Models can be deployed as REST endpoints, cloud services, or optimized Java code for edge devices. Supported hardware includes NVIDIA GPUs, IBM Power 9, and Intel x86 CPUs; GPU-accelerated algorithms include XGBoost, TensorFlow, and LightGBM. Documented integrations include Kubernetes, Kubeflow, SageMaker, Alteryx, Jupyter/Python, KDB, Qlik, Trifacta, and UiPath. Data sources include HDFS, Amazon S3, Azure Blob Storage, Google BigQuery, Google Cloud Storage, Snowflake, JDBC, Databricks, and Delta Table. Cloud installation options are H2O AI Cloud, AWS, Azure, and Google Cloud. H2O offers a 21-day public-cloud evaluation license and a guided two-hour cloud test drive. Commercial licensing requires contacting sales; no price is listed. The default installation disables security, so production use calls for secure installation.
Saturn Cloud
Saturn Cloud is a control plane for GPU clouds that turns GPU fleets into token-metered AI services. It orchestrates bare metal, managed Kubernetes, and managed Slurm through one control plane. Supported workloads include inference endpoints, training and fine-tuning, and development workspaces with JupyterLab, VS Code, SSH, and persistent storage. Listed languages are Python, R, Julia, and Java, with Jupyter Notebook files supported. Each customer receives a separate Kubernetes or Slurm cluster by default, without shared scheduler, etcd, or admission webhooks. GPU-hour and inference-token use can be metered by user, project, and tenant, with invoice data available through an API and Snowflake view. Enterprise deployments can run in a customer’s cloud account, and Enterprise data can remain in AWS. Hosted access has a free plan, while resource usage requires Pro. Hosted Pro is billed pay-as-you-go hourly; storage is listed at 0.10 USD per GB-month.