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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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.
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Vendor terms and conditions
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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.
Updated weekly
By Saturn Cloud
By Lightning AI
Sentiment is AI generated from actual customer reviews on AWS and G2
Functionality
Ease of use
Customer service
Cost effectiveness
Positive reviews
Mixed reviews
Negative reviews
AI generated from product descriptions
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.
Multi-User Access Management
Industry-standard KeyCloak-based user management system with support for external LDAP and Kerberos federation
Multiple IDE Support
Includes JupyterLab, Jupyter Classic Notebook, RStudio IDE, and VSCode for diverse development environments
GPU and CUDA Support
GPU support with multiple CUDA versions installed for optimized PyTorch and TensorFlow usage
Pre-configured Development Environment
Multiple Python and R versions with core data science packages pre-installed and configured
Operating System Foundation
Built on Ubuntu 22.04 with SSL termination capability through custom DNS configuration
Standard contract
No
Customer reviews
Patel_Dhulva
Interface has needed more clarity yet has supported faster GPU projects and learning
Reviewed on Jun 19, 2026
Review from a verified AWS customer
What is our primary use case?
I have been using Saturn Cloud for over four years, and I will start by saying it is an excellent platform to start your AI journey. Honestly, it has been a smooth and enjoyable user experience, far more user-friendly than platforms such as SageMaker and other alternatives. What I really appreciate is how easy it is to spin up a server; it takes just a few clicks, with no hidden complexity or frustrating setups. The documentation is also clear, especially if you are not super familiar with cloud environments.
One specific project where Saturn Cloud played a key role is that I want to highlight how the platform evolves fast. A recent update added a way to see the task queue, which is super helpful. I am also pleasantly surprised to see the GPU utilization as well as the NVLink bandwidth between GPUs, all shown right inside the Jupyter server. The support team, especially Hugo, has been consistently responsive.
How has it helped my organization?
Saturn Cloud has positively impacted my organization as I participate in machine learning seminars from Data Talks club, and it helps me create my projects quicker because of the GPU support in model training.
A specific example of how much time I saved thanks to Saturn Cloud's GPU support is that it helped me complete a project ahead of my schedule, saving a lot of costs and time, thanks to Jupyter.
My team has saved a significant percentage of time. Saturn Cloud has provided more than 50% more compute time saved.
What is most valuable?
I would say that the ability to monitor GPU utilization and NVLink bandwidth inside Jupyter is one of the best features for me. It is one of the best value-for-money cloud platforms that is easy to use with good support. It is clean and neat, making it easy for freshers to use. Integration is easier than other clouds, and even for pre-trial, there are many features. Anyone can easily implement Git and code with the cloud. The usage frequency is also very high because it is very affordable.
Hugo, the CTO, has been extremely helpful and responsive even at odd times. That is the support team. The compute availability to run experiments in protein language modeling and molecular simulation is very great.
What needs improvement?
While Saturn Cloud provides excellent computational resources and reliable uptime, I find that the user interface could be improved.
I would like to see improvements in the user interface because it can be unintuitive at times, making it challenging to navigate and configure certain settings. Enhancing the user interface to be more streamlined and user-friendly would significantly improve the overall experience. Having pre-configured stacks readily available would save time and make the platform even more efficient to use.
I would love to see more customizability overall in the platform.
For how long have I used the solution?
I have been using Saturn Cloud for about four and a half years.
What do I think about the stability of the solution?
Saturn Cloud is stable, as I have not experienced much downtime, so it is relatively stable.
What do I think about the scalability of the solution?
Saturn Cloud's scalability is excellent, as it has handled my data volume well as it scales up.
How are customer service and support?
Customer support for Saturn Cloud is very proactive, responsive, and available 24/7.
I would rate the customer support a perfect 10 out of 10. They are very professional.
Which solution did I use previously and why did I switch?
I previously used Databricks Data Intelligence before switching.
I switched from Databricks Data Intelligence to Saturn Cloud because Saturn Cloud is very easy to use and has a very responsive and proactive customer support team. It also has great and very intuitive features, which makes it the best data science cloud solution so far. It provides good features and good cloud computing tools that make it very enjoyable to use.
How was the initial setup?
It was pretty straightforward to deploy Saturn Cloud in my environment.
What about the implementation team?
My experience with the procurement process was easy, not difficult at all. I faced no challenges along the way.
What was our ROI?
I have seen a return on investment, as I would say it has 50% more compute time, which makes things 10 times better than its counterparts and overall increases productivity in my organization.
What's my experience with pricing, setup cost, and licensing?
My thoughts about the metering and billing experience are that it is pretty smooth as well.
The prices are relatively affordable, making it a very cost-effective solution for us.
Which other solutions did I evaluate?
Before choosing Saturn Cloud, I evaluated other options such as Amazon SageMaker and Domino Enterprise MLOps.
What other advice do I have?
The advice I would give to others looking into using Saturn Cloud is that it is a great tool that provides good features and good cloud computing tools, making it a highly recommendable tool. It ensures you get faster workloads by 70%, making it a must-have or highly recommendable tool, especially for learning new AI, ML, or DL technologies where computing power is necessary.
I would add that I love the Jupyter notebooks with GPU support, which are suitable for fast modeling training. It is excellent.
I do not think you have to change anything for the future, but please be quicker. In some areas, the process consumes much time on some questions.
Which deployment model are you using for this solution?
Public Cloud
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
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.