Saturn Cloud
Simplify Your Data Science and ML Workflow in the Cloud. [Contact for Pricing]
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What is Saturn Cloud?
Saturn Cloud is a data scientist-loved, IT-approved AI/ML platform that enables teams to build, scale, deploy, and collaborate on machine learning applications. The platform handles backend infrastructure so data scientists can focus on their projects, offering development workspaces that feel like working on a laptop but with significantly better hardware including GPUs and high-speed CPUs.
Key features include JupyterLab and RStudio development environments, support for desktop IDEs like PyCharm and VS Code via SSH, GPU and CPU support for training and fine-tuning models, Dask for distributed computing, job scheduling, model deployment with endpoints for LLMs, and managed dashboards including Streamlit, Plotly, Bokeh, and Panel. The platform supports both Python and R programming languages and allows users to bring their own Docker images or customize Saturn Cloud's images.
Saturn Cloud is designed for data scientists, AI/ML engineers, ML scientists, and data teams who need scalable computing resources without infrastructure management. It serves organizations ranging from small teams to enterprises, with customers including NVIDIA, CFA Institute, Snowflake, Flatiron School, and Nestle. The platform is available on multiple clouds (AWS, Azure, Google Cloud, Oracle, CoreWeave) and can be installed securely within a company's VPC for enterprise security requirements.
Saturn Cloud pricing
Pricing model: Freemium
Saturn Cloud offers a free tier called Explorer/Hosted Free at $0/month that includes 150 hours of compute per month (previously 30 hours, updated in 2023) with full UI access. The Pro plan is pay-as-you-go with a $0 per user per month base fee plus usage costs billed monthly, including everything from the free plan plus access to JupyterLab, RStudio, Dask, ability to build RAG pipelines, deploy and finetune LLMs, deploy models/dashboards/jobs, and access all instance types. The Enterprise plan requires contacting sales and includes fully managed service, advanced security with SSO and VPC installation, and dedicated technical support. Saturn Cloud can be installed on-premise in cloud environments from AWS, Microsoft Azure, Google Cloud, Oracle, and CoreWeave.
Saturn Cloud pros
- Access to powerful GPUs for machine learning training and fine-tuning
- Lightning-fast CPUs for data processing
- No vendor lock-in - works on any cloud provider
- 150 free hours of compute per month on free tier
- Support for both Python and R programming languages
- JupyterLab and RStudio development environments included
- Connect desktop IDEs like PyCharm and VS Code via SSH
- Dask support for distributed computing at scale
- No idle time limit unlike Google Colab's 90-minute restriction
- Easy scaling from proof-of-concept to production
- Built-in security with IAM role support and fine-grained access control
- Deploy models with FastAPI and BentoML
- Managed dashboards for Streamlit, Plotly, Bokeh, Panel
- Job scheduling for daily ETL and model retraining
- Docker-based environments for reproducible development
- Installation within your own cloud account and VPN for enterprises
- Top-notch customer service according to user reviews
- Spins up environments in about 3.5 minutes
Saturn Cloud cons
- Hardware pricing is expensive especially for students
- Limited free hours compared to what some users need
- Poor documentation in some areas
- Limited library installation options
- No TPU coprocessor support
- No ARM64 CPU options available
- Limited customization for pre-built templates and workflows
- Pricing could be more competitive like AWS spot instances
- Higher cost compared to other cloud-based services
Frequently asked questions about Saturn Cloud
What is Saturn Cloud?
Saturn Cloud is a data science and machine learning platform for scalable Python analytics with Dask and GPUs on hosted notebooks. It is an AI/ML platform available on every cloud that enables data teams and engineers to build, scale, and deploy their AI/ML applications with any stack without vendor lock-in. The platform handles infrastructure so data scientists can focus on their work.
Who can use Saturn Cloud?
Saturn Cloud is designed for data scientists, AI/ML engineers, ML scientists, and data teams of any size. It serves individuals working on personal projects, small teams doing proof-of-concept work, and enterprises requiring advanced security. Over 100,000 data scientists and AI/ML engineers use Saturn Cloud, including customers like NVIDIA, CFA Institute, Snowflake, Flatiron School, and Nestle.
What programming languages does Saturn Cloud support?
Saturn Cloud supports both Python and R programming languages. The platform provides Jupyter and R development environments, and code that runs in Saturn Cloud is vanilla Python and R code that can be loaded from Git.
Does Saturn Cloud have a free tier?
Yes, Saturn Cloud offers a free tier called Explorer or Hosted Free at $0/month. The free tier includes 150 hours of compute per month with full UI access, allowing users to access JupyterLab, RStudio, and experiment with GPUs and CPUs for building LLMs and data science projects.
What GPUs are available on Saturn Cloud?
Saturn Cloud provides access to GPUs for machine learning training, fine-tuning, and data processing. Users can access all instance types including GPU instances, and the platform allows seamless GPU addition for accelerated experimentation. The platform supports lightning-fast CPUs along with GPUs for machine learning workloads.
How do I deploy models on Saturn Cloud?
You can deploy models on Saturn Cloud as deployments or jobs. Deployments can be web applications built with Streamlit, Shiny, Plotly, or Bokeh for dashboards, or models deployed with BentoML or FastAPI with endpoints for LLMs. Jobs can be any script used for daily ETL or model retraining. Code deployed runs in the exact same environment it was written in.
Can I use my own IDE with Saturn Cloud?
Yes, Saturn Cloud supports desktop IDEs including PyCharm and VS Code. Workspaces support SSH so you can connect any desktop IDE. The platform provides JupyterLab and RStudio as built-in development environments, but you can also develop locally using your preferred IDE by connecting via SSH to your Saturn Cloud workspace.
What is the difference between Saturn Cloud Hosted and Enterprise?
Saturn Cloud Hosted (Free and Pro plans) is the cloud-hosted version where you sign up at saturncloud.io. The free plan includes 150 hours of compute per month, while Pro is pay-as-you-go. Enterprise includes SSO and VPC installation within your own cloud account and VPN, fully managed service, advanced security features, and dedicated technical support. Enterprise requires contacting sales.
How does Saturn Cloud handle Docker containers?
Everything running in Saturn Cloud runs in a Docker container. Users can bring their own Docker images or customize Saturn Cloud's images with the Saturn Cloud image builder. You specify the libraries your code needs, and developing in Docker means your work is much more reproducible since code that runs in Saturn Cloud is just vanilla Python and R code loaded from Git.
Can Saturn Cloud be installed on my own infrastructure?
Yes, Saturn Cloud Enterprise can be installed securely within your own cloud account and VPN. It installs in cloud environments offered by AWS, Microsoft Azure, Google Cloud, Oracle, and CoreWeave. This is ideal for organizations with restricted internet access, transparent proxies, or requiring enhanced security and control over their AI/ML infrastructure.