Sold by: Saturn Cloud
Saturn Cloud is an award-winning ML platform with 75,000+ users, built to make AI/ML and LLMs easy and secure within the enterprise.
4.8
Overview
Saturn Cloud is an award-winning ML platform with 75,000+ users, including NVIDIA, CFA Institute, Snowflake, Flatiron School, Nestle, and more. It acts as an all-in-one solution for data science & ML development, deployment, and data pipelines in the cloud. Users can spin up a notebook with 4TB of RAM, add a GPU, connect to a distributed cluster of workers, and more, in a completely hosted environment.
Data scientists and analysts work best using the tools they want to use. In Saturn Cloud, you can use your preferred languages, IDEs, and machine-learning libraries. We offer full Git integration, shared custom images, and secure credential storage, making it easy to scale and build your team in the cloud. With features like jobs and deployments, we support the entire machine learning lifecycle from experimentation to production. These features and built-in tools are easily shareable within teams, so time is saved and work is reproducible.
Install and get a free trial and great support.
Highlights
- Move to the cloud without switching tools. Jupyter, R, dashboards, jobs, model deployment, and more
- Configure security settings (SSO, VPN, firewall) to match your enterprise needs
- Administer teams, cost controls, resources and more as a team leader
Details
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Delivery method
Deployed on AWS
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Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing
Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Cost/unit |
|---|---|
7 Day Free Trial | $0.00 |
1 GB of ram/hr on non-GPU instances [legacy] | $0.01 |
1 GB of ram/hr on instances with T4 GPUs [legacy] | $0.02 |
1 GB of ram/hr on instances with V100 GPUs [legacy] | $0.04 |
Unit of usage of Saturn Cloud resources | $0.01 |
Vendor refund policy
No refunds or cancellations.
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
Delivery details
Software as a Service (SaaS)
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
Resources
Vendor resources
Support
Vendor support
Please reach out to support@saturncloud.io with any questions. support@saturncloud.io
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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Sentiment is AI generated from actual customer reviews on AWS and G2
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Notebook Environment Configuration
Support for Jupyter notebooks with configurable resources up to 4TB of RAM and GPU acceleration capabilities
Multi-Language and Framework Support
Compatible with multiple programming languages, IDEs, and machine learning libraries for data science workflows
Enterprise Security Controls
Configurable security settings including SSO, VPN, and firewall integration for enterprise compliance requirements
Distributed Computing Infrastructure
Ability to connect to distributed clusters of workers for scalable data processing and model training
Machine Learning Lifecycle Management
End-to-end support for ML workflows including experimentation, job scheduling, model deployment, and production serving
Multi-Node Distributed Training
Supports multi-node training capabilities enabling scalable AI model training across multiple machines with on-demand compute resources including A100 and H100 GPUs.
Integrated Development Environment
Provides unified platform integrating data preparation, model development, distributed training, and application deployment within a single cohesive interface.
Pre-built Model Templates
Includes pre-built studios from expert contributors and PyTorch ecosystem optimized for state-of-the-art AI applications including LLMs, Diffusion models, and Graph Neural Networks.
Enterprise Security and Isolation
Offers enterprise-grade security features including Bring Your Own Cloud (BYOC) capability, fine-grained access control, and private networking to ensure data remains within customer accounts.
Serverless Deployment
Supports serverless deployment options enabling application deployment without infrastructure management overhead.
Data Pipeline Management
Streamlines AI lifecycle with reproducible data builds, featuring sharding and dynamic resource optimization, with data contamination prevention and lookahead error correction
Feature Store
Enhances data reusability and ensures consistency across builds with optimized data structure for fast random access
Model Development and Experimentation
Supports deep learning with custom reusable components, automatic dimensionality transformations, hyperparameter tuning, model evaluation, and experiment tracking
Model Registry and Governance
Provides full traceability of models with security measures and prevents accidental deletions
Multi-Environment Deployment
Enables one-click deployment across versatile environments including cloud, on-premises, and edge computing
Standard contract
No
Customer reviews
Nataporn C.
Fast, Seamless GPU Environments with Dask & Jupyter Integration
Reviewed on Jan 28, 2026
Review provided by G2
What do you like best about the product?
I love how quickly I can spin up GPU-powered environments without any complex configuration. The seamless integration with Dask and Jupyter allows me to scale my data processing tasks instantly, which is a huge productivity booster.
What do you dislike about the product?
The pricing structure can be a bit confusing at first, especially when monitoring credit usage for high-end instances. Also, the documentation for some advanced custom image setups could be more detailed for beginners.
What problems is the product solving and how is that benefiting you?
Saturn Cloud solves the hardware limitation problem of local machines. It eliminates the struggle of manually setting up complex Python environments and managing GPU drivers. It also addresses the challenge of scaling data processing by providing an easy way to use Dask clusters, which would otherwise be very difficult to configure from scratch.
Computer Hardware
Beautiful UI, But Pricey
Reviewed on Nov 01, 2025
Review provided by G2
What do you like best about the product?
its UI is so good and easy to navigate through stuff
What do you dislike about the product?
the hardware is bretty expensive spichailly for the student plan
What problems is the product solving and how is that benefiting you?
levereging the gab between what i want to create and my hardware limitations
Education Management
User friendly
Reviewed on Sep 18, 2025
Review provided by G2
What do you like best about the product?
It can handle large datasets and workloads with complexity.
What do you dislike about the product?
A complex tool that needs better documentation to better support users.
What problems is the product solving and how is that benefiting you?
It offers powerful GPUs which is a good alternative to other cloud providers.
Jakub L.
Slight learning curve, but great GPU availability and amazing customer support!
Reviewed on Sep 17, 2025
Review provided by G2
What do you like best about the product?
Hugo, the CTO, has been extremely helpful and responsive, even at weird times of the day.
What do you dislike about the product?
There's a slight initial learning curve. One has to set things up once, and then can scale up very nicely with their queue jobbing system.
What problems is the product solving and how is that benefiting you?
Compute availability to run experiments in protein language modeling, and molecular simulations.
Higher Education
Great Cloud For Training
Reviewed on Sep 16, 2025
Review provided by G2
What do you like best about the product?
Provide great GPU hours that help with training LLM models.
What do you dislike about the product?
Have to reinstall some Python packages, which interrupts my workflow.
What problems is the product solving and how is that benefiting you?
Powerful GPU and support for machine learning, great for my high-performance computing needs.