Saturn Cloud Reviews

Summary: The SSH feature is a very nice. Great great!!!!

Positive: The free compute resource offered. For me I'm very satisfied. All the features works correctly.

Negative: I don't dislike the product. For me I'm very satisfied. All the features works correctly. The SSH feature is a very nice. Great great!!!!

Summary: I find Saturn Cloud to be a powerful and reliable platform for my data science needs. Its user-friendly interface, powerful computing capabilities, and collaborative features make it a top choice for me and many other data science teams.

Positive: Saturn Cloud is a data science platform that offers several advantages for data scientists and engineers. One of the key benefits of the platform is its user-friendly interface, which makes it easy for beginners to get started with data science projects. In addition, Saturn Cloud provides access to scalable computing resources that can be easily adjusted based on project needs, enabling users to leverage high-performance computing resources for their workloads.

Negative: Saturn Cloud's user-friendly interface makes it easy to get started with data science projects, even for beginners.

Summary: Overall I am satisfied with the service of Saturn Cloud, especially the outstanding customer support that I receive even though I was using a free version at that time. I was surprised that my questions were answered timely and very technically correct.

Positive: I like it the most that I can run my machine learning models really quick. I iterate over different versions of the models and tweak them to suit my need. No matter whether you are an academic researcher or an industry worker, if you can prototype and iterate your software this fast, you gain an edge over your competitors.

Negative: I need more python libraries to process images. And also more able to install software freely on the server.

Summary: This is best platform while using it. It helped me a lot and i will not stop using it. I have my own server to code.

Positive: There is an amount of RAM in free edition. Like 64GB RAM. Secondly, there is also free amount of space (100 GB max).

Negative: There are limited in free edition. Especially in gpu.

Summary: Saturn Cloud seems an excellent option for machine learning users looking for a user-friendly platform with various helpful features and services. As a beginner in ML, I found this platform really good.

Positive: Designed in a very nice way, once you log in you get clear what is where in the platform. Easy to create resources. Has support for popular frameworks and libraries. ML model training is quite fast in this platform them others I observed, and while running codes never faced any problem always very smooth.

Negative: A few things could have been great to have on this platform:
1> Not able to see how many resources are used while running code for training or other purposes.
2> Better documentation for how to use the platform.
3> when you have limited storage on the platform it is difficult to see how much is available or how much is used.

Summary: I'm learning to use machine learning to code a variety of projects and this platform provides a free way to learn.

Positive: The free trial that lets you test out the capability of the platform without having to worry about a countdown clock on your credit card triggering a payment.

Negative: It's not completely free which may be an unreasonable request considering how much is available to use so, 5 star rating!!!

Summary: Absolutely amazing. we have switched from other cloud providers to Saturn Cloud because of their excellent service and product offering.

Positive: Easy to deploy within minutes. It has ready made docker images for a very wide variety of use cases. Not only does it have the popular docker images for TensorFlow, Keras, but also the unpopular ones such as RAPIDS.
I had tried using the RAPIDS images on other cloud providers but would constantly get errors. Saturn Cloud images are bug free and and hardware resources have 100% uptime.

Negative: I have nothing at all to dislike about Saturn Cloud.

Summary: A good solid stable infrastructure for IT projects.

Positive: The GUI is user friendly and a lots of existing Git repositories are available (preconfigured Templates like TensorFlow, Pytorch... and many more).

Negative: A lot of StackOverflow when I used collab notebooks, but with few changes and updates i resolved the problems.

Summary: Saturn Cloud is the way to go when you need a quick Juypter notebook environment for big assignments.

Positive: That it is easy to use and set up your environment. In addition, the support service is really good.

Negative: Sometimes hard to understand the jobs for the dask clusters.

Summary: I like it and frequently use it for my research purpose.
I find this useful for my work and recommend using it.

Positive: It's easy to maintain.
It's easy to configure.
It's comparable fast to other free available platforms for AI.

Negative: After a certain period later, Data is deleted.
Provided limited free CPU power.
Provided limited free GPU power.

Summary: Saturn Cloud is a valuable platform for organizations looking to leverage data science and machine learning in their operations. It offers an intuitive interface and automation of key tasks but could benefit from expanded documentation and integration with other tools.

Positive: -Intuitive and user-friendly interface
-Support for popular frameworks and libraries
-Automation of DevOps and ML infrastructure tasks

Negative: -More documentation and tutorials are always better
-Further integration of popular tools and frameworks would be great

Summary: I recently began utilizing Saturn Cloud for my machine learning projects and have been blown away by its possibilities. The seamless connection with TensorFlow and Jupyter makes building and training models simple. Its high-performance computing capabilities have also changed the game, allowing me to train sophisticated models far quicker than I could on my local system.

Saturn Cloud offers an easy-to-use interface that allows you to quickly create a new machine learning environment and experiment with different models and techniques. Its pre-installed machine learning libraries save time and effort while establishing projects.


Saturn Cloud, in addition to these main functionalities, provides a variety of beneficial services for machine learning users. Its support staff is competent and always accessible to assist with any queries or concerns.

Positive: The seamless connection with TensorFlow and Jupyter makes building and training models simple.
Its high-performance computing capabilities have also changed the game, allowing me to train sophisticated models far quicker than I could on my local system.
Saturn Cloud offers an easy-to-use interface that allows you to quickly create a new machine learning environment and experiment with different models and techniques.
Its pre-installed machine learning libraries save time and effort while establishing projects.
Saturn Cloud, in addition to these main functionalities, provides a variety of beneficial services for machine learning users.

Negative: It would be nice if they offered more resources for their free tier.

Summary: Fast customer support with live chat.

Positive: Lots of configuration options and computing power.

Negative: It would be amazing to have more freedom for computing specs, for example selecting a high-performance GPU with few CPUs and RAM (that hopefully would be cheaper that the default choices).

Summary: Nowadays using a laptop for machine and deep learning is not a good thing. That is the reason i love Saturn Cloud.

Positive: While using Saturn Cloud i use cloud components without difficulties.

Negative: I did not like the limits that Saturn Cloud provide in free plan. Especially while using GPU.

Summary: Overall, Saturn Cloud is a powerful and scalable platform for data science that can handle complex and demanding tasks. It is suitable for enterprises and professionals who need to work with large datasets and advanced analytics. It may not be the best option for beginners or budget-conscious users.

Positive: Saturn Cloud is a great platform for data science projects that require high-performance computing and large-scale data processing. It offers easy integration with popular tools like Python, Jupyter, Dask, and RAPIDS. It also provides a user-friendly interface to manage clusters, resources, and workflows. Saturn Cloud enables faster and more efficient data analysis and machine learning with minimal code and configuration.

Negative: Saturn Cloud is not very cheap and may not be affordable for small businesses or individual users. It also requires some technical knowledge and experience to use it effectively. Some features and functionalities may not be well documented or supported.