TrustRadius Insights for Saturn Cloud are summaries of user sentiment data from TrustRadius reviews and, when necessary, third party data sources.
Pros
Scalability: Many users have praised Saturn Cloud for its scalability, with multiple reviewers mentioning this as a standout feature. They appreciate the ability to easily adjust their computer power according to their project's needs without any hassle, allowing them to handle larger datasets and more complex workloads.
Collaboration Features: Reviewers have highlighted the collaboration features of Saturn Cloud, emphasizing that it was designed with teamwork in mind. Users appreciate the ability to share Jupyter notebooks and Python code with others, as well as the real-time collaboration tools such as built-in chat and video conferencing.
User-Friendly Interface: Several reviewers have praised Saturn Cloud for its user-friendly interface. They note that it is designed to be easy to use even for users without extensive technical expertise. The availability of pre-built templates and workflows for common tasks, along with built-in tools and libraries for machine learning and data analysis, further enhances the user experience.
We use Saturn Cloud for experimentation. Saturn Cloud offers a quick-deploy Jupyter notebook with a GPU attached which makes it great for running small training or fine-tuning workloads, or just processing data in general.
Pros
Deploying an environment is very fast. The fastest I've seen
The web-UI for Jupyter is complete and easy to use
Cons
General UI improvements are always welcome
Likelihood to Recommend
Experimentation is really where Saturn Cloud shines. I wouldn't use it to train a big LLM for example.
VU
Verified User
Consultant in Information Technology (11-50 employees)
I use Saturn Cloud to learn new AI/DL technologies where computing power is needed. The company I work in has very limited computing capabilities. To fulfill the company's needs for a few visual models and support my research, which is also computation-heavy, I rely on Saturn Cloud.
Pros
Familiarity
User-friendly
Availability
Cons
Pricing
Likelihood to Recommend
Overall , it is suited for many Data Science and ML Taks , for education purposes is also a better alternative to most providers. But i would not recommend if it is going a project which towards rather much computational expensive task which takes days or weeks.
VU
Verified User
Engineer in Research & Development (1-10 employees)
I am a student , so I use it to train and use ML models which I cannot remotely due to working on a local notebook. Since we generally do need GPUs for faster and better training. I think Saturn Cloud is a good solution / alternative to other cloud GPU providers. Another good thing being it provides more hours ! So that's pretty good for me as a student. It works out to be budget friendly too. They should have a student plan which could drive more traffic for them!
Pros
More compute hours
User Friendly
Budget Friendly
Cons
I'd like to see a student plan for students
I'd like to see more of Saturn Cloud
More customizability overall
Likelihood to Recommend
Specific scenario if I had mention would be when most of the people who try to find cloud based GPU processing try to go for other softwares when Saturn Cloud is a much better option. Even I discovered this later on . But it does seem to work similar to others so this is a good option
The reliable uptime ensures that long-running training processes aren't disrupted, which is crucial for my work. Overall, Saturn Cloud accelerates my AI development workflow, saves time, and enhances productivity by providing the computational power and stability I need.
Pros
Generative AI Infrastructure
User-Friendly Platform
Top-tier NVIDIA GPUs
Cons
Unrestricted Large Language Models
UI/UX
Likelihood to Recommend
By offering easy access to top-tier NVIDIA GPUs, it eliminates the hassle of setting up and managing high-performance hardware. This allows me to efficiently train large-scale models, including Large Language Models, without worrying about infrastructure limitations.
Test and development of python scripts in a safe isolated environment. We run code that once validated will be deployed on our production systems.
Still there is some testing to be performed prior to move production workflows to this platform, but we are considering this because that's a high performance serverless solution that performs properly and development team likes it.
Pros
Performance
Stability
Security
Easy to use
Customization
Cons
Be clear with free tier and pricing
Missing kubernetes environment
More pricing options, including SPOT Instances
Better integration with Azure
Multicloud
Likelihood to Recommend
I had a very bad experience with free tier and support
VU
Verified User
Employee in Research & Development (51-200 employees)
Saturn Cloud is a great platform for training AI models. It is easy to use and has a user-friendly interface. I have used it to train BERT models, and it has helped me speed up the training process significantly. I would definitely recommend Saturn Cloud to anyone who is looking to train AI models.Here are some of the things I like about Saturn Cloud:It is easy to use and has a user-friendly interface.It is fast and scalable.It is affordable.It offers a variety of features, including GPU support, pre-configured environments, and a built-in debugger.If you are looking for a platform to train AI models, I would definitely recommend Saturn Cloud. It is a great option for beginners and experienced users alike.
Pros
training
fine tuning
deploying
Cons
GPU taining
deploy with dask
R language
Likelihood to Recommend
if you want to work on a powerful platform, that allows you to work with bigdata, these huge database sets, and also to be able to train your models quickly, saturn cloud is the best for you. In addition to the ease of working with GPUs, it gives you the option to choose between R or Python.
VU
Verified User
Engineer in Information Technology (501-1000 employees)
I train Reinforcement Algorithms for my thesis. I deploy my code in JupyterLab environments, analyze data and download results for further use. I make particular use of GPU-enabled machines with pre-installed CUDA frameworks. My personal computing resources would not be sufficient to accomplish the training within a feasible time. The ease of use of Saturn Cloud convinced me to choose it over other alternatives.
Pros
Ease of use
Pricing transparency
Hardware customizability
Cons
Python 3.9 default
Auto shutoff after 1 hour default
Port must be enabled to use tensorflow
Likelihood to Recommend
Saturn Cloud offers 30 hours of GPU compute for free, which is an amazing offer. Unlike other lab environments, Saturn Cloud does not ask for captcha solving and deletes the runtime after disconnecting. In the pro-plan, an abundance of options are available. After trying other alternatives, its the most convincing way to train deep learning models for me.
We use deep learning based approaches to advance MRI-based connectome science. We use primarily the python-based compute servers to run all of our models and development work.
Pros
great server user interface
good GPU connections
reliable
Cons
server start up is slow
resource cloning is slow
Likelihood to Recommend
Perfectly well suited for those with limitations to accessing GPU computing power, whether that be money, space, or knowledge. Perfect for building architectures and training.
Problematic if you run out of compute hours and need offline access to your work.... would be nice to be able to download a copy of the workspace
Use cases include data exploration and analysis, feature engineering, model training and evaluation, and building end-to-end machine learning pipelines. Overall, Saturn Cloud helps to streamline the data science workflow, improve productivity, and accelerate the development and deployment of data-driven applications within organizations. Saturn Cloud provides a collaborative environment where data scientists can develop and train machine learning models.
Pros
Data Preprocessing
Model Training
Scalability
Cons
More free credits
Ease of use
Accessibility
Likelihood to Recommend
Saturn Cloud is a powerful data science platform that offers numerous benefits to organizations. It simplifies and streamlines the development, deployment, and scaling of data science and machine learning models. The platform addresses common business problems such as scalability, collaboration, efficiency, and cost-effectiveness. With Saturn Cloud, organizations can easily handle large datasets and complex computations, collaborate effectively among data science teams, automate repetitive tasks, optimize workflows, and utilize flexible and cost-efficient cloud resources. By leveraging Saturn Cloud, organizations can accelerate their data science projects, improve productivity, and achieve better outcomes in areas such as predictive modeling, recommendation systems, fraud detection, and more.
VU
Verified User
Employee in Information Technology (1-10 employees)
