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Saturn Cloud

Score7.6 out of 10

54 Reviews and Ratings

What is Saturn Cloud?

Saturn Cloud is an ML platform for individuals and teams, available on multiple clouds: AWS, Azure, GCP, and OCI. It provides access to computing resources with customizable amounts of memory and power, including GPUs and Dask distributed computing clusters, in a wholly hosted environment. Saturn Cloud is presented as flexible and straightforward for new data scientists while giving senior and experienced staff the capabilities and configurability they need.

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Categories & Use Cases

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Who Buys & Uses Saturn Cloud

Most Frequent Users

Top 1 industries using Saturn Cloud.

Based on HG Insights installation data
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#1 most frequent

Finance and Insurance

100.0%

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Saturn Cloud Reviews

What users are saying about Saturn Cloud.
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Pros

  • User-friendly interface simplifies development workflows
  • Provides access to GPUs, enabling training of complex machine learning models
  • Accelerates AI/DL development, saving time and enhancing productivity

Great

Verified User
Consultant in Information Technology (11-50 employees)

Use Cases and Deployment Scope

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

Usability

User-Friendly Platform with Top-Tier GPUs

AmenRey NlnView profile
Group Creative Director in Corporate at Astra Technica (11-50 employees)

Use Cases and Deployment Scope

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

Return on Investment

  • Although we are still in the implementation phase with Saturn Cloud, we anticipate significant positive impacts on our business objectives.
  • The platform is expected to enhance our computational capabilities with its easy access to top-tier NVIDIA GPUs, which should accelerate our AI and machine learning projects. We believe this will lead to reduced development times and faster deployment of our generative AI models.
  • While Saturn Cloud provides excellent computational resources and reliable uptime, I find that their user interface could be improved. The UI can be unintuitive at times, making it a bit 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 also save time and make the platform even more efficient to use.

Usability

Other Software Used

Amazon CloudFront, OpenAI API, Cursor

Review for Saturn Cloud

Verified User
Employee in Information Technology (1-10 employees)

Use Cases and Deployment Scope

I am using Saturn Cloud (Free tier) to train CNN models for a project I am creating.

Pros

  • Development environment available from everywhere.
  • Jupyter Notebooks with GPU support suitable for fast model training.
  • All necessary libraries like tensorflow are pre installed so you don't have to lose time with the installations.

Cons

  • I haven't been using Saturn Cloud for a long time. But at the moment it covers everything I need.

Return on Investment

  • I am participating in ML seminars from Datatalks Club and Saturn Cloud helps me create my projects quicker because of the GPU support in model training.

Usability

Other Software Used

Microsoft Visual Studio Code, Jupyter Notebook, Docker, Flask, Streamlit, Elasticsearch

Saturn Cloud Review

Incentivized
Verified User
Engineer in Research & Development (1-10 employees)

Use Cases and Deployment Scope

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

Return on Investment

  • Faster workloads by 70%

Usability

Alternatives Considered

Vertex AI

Trying out Saturn Cloud as a Student

Incentivized
Verified User
Engineer in Engineering (1-10 employees)

Use Cases and Deployment Scope

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

Return on Investment

  • Has 50% more compute time
  • Makes things 10 times better than its counterparts
  • Overall makes more productive

Usability

Alternatives Considered

CoLab

Other Software Used

CoLab

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