Pricing score

7.1

Saturn Cloud Pricing Profile

Saturn Cloud is an AI/ML platform available on every cloud. Data teams and engineers can build, scale, and deploy their AI/ML applications with any stack.

HQ Location

San Francisco, California, USA

Category:

AI

Key Takeaways

Cloud-Native Data Science Workspaces

Saturn Cloud provides cloud-based Jupyter notebooks, which support interactive data analysis, modeling, and visualization. It also supports popular data science libraries such as NumPy, Pandas, Matplotlib, TensorFlow, PyTorch, and Scikit-learn.

Parallel and Distributed Computing

Saturn Cloud is designed to support parallel processing and distributed computing using Dask. This enables the handling of large datasets and allows for scaling tasks across multiple cores, nodes, or machines without the complexity of managing clusters manually.

GPU Support for Deep Learning

Saturn Cloud provides easy access to powerful GPU resources (including NVIDIA GPUs) for deep learning workloads. These GPUs can be used to accelerate model training for computationally intensive tasks such as computer vision, natural language processing (NLP), and large-scale deep learning models.

Product Overview

image

Picterra is a company that specializes in providing AI-powered geospatial data analysis solutions. Their platform allows users to automatically extract valuable insights from satellite and aerial imagery using machine learning and computer vision techniques. Picterra is widely used for applications in environmental monitoring, agriculture, urban planning, infrastructure management, and more.

Picterra provides a cloud-based platform that empowers users to create machine learning models for analyzing geospatial data without needing advanced coding skills. The platform leverages AI to process and interpret satellite and drone imagery, enabling organizations to make informed decisions based on real-time visual data.

INSIGHTS

Our insights about Saturn Cloud pricing

01

Free trial

02

Custom options

03

Hourly rates for compute and storage

Available Pricing Models

How much does Saturn Cloud cost?

Saturn Cloud offers hourly rates for compute and storage. For Hosted, these are billed in $10 increments.

Pro

  • For individuals and scrappy teams of data scientists, AI/ML engineers, and startups.
  • Custom pricing.

On-Premise

  • Approved by IT security for teams of all sizes. Installs in cloud environments offered by AWS, Microsoft Azure, Google, Oracle, and CoreWeave
  • Custom pricing.

What users say about Saturn Cloud pricing

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AmenRey N.

While the platform excels in many areas, I would love to see "more" of a selection in unrestricted Large Language Models readily available. Although you can build them in a fresh VM, it would be nice to have pre-configured stacks to save time and effort.

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Hữu Tín C.

They are very friendly and quickly to solve any problem you have when signing up or using the platform. There are a reason they have an award in user love us. Trust me, it really worth it.

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Cyrille M.

What I love most about Saturn cloud is the ability to work with Jupyter notebooks and Jupyter labs, the presence of high computing power, and also the ability to launch jobs without the need for your computer to be actively on.

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Rodrigo A.

The free gpu in the initial tier was a great welcome, shows confidence in thier product.

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Cezar T.

The most helpful thing about Saturn Cloud is the performance that you get for the small price. Other helpful things that I have noticed so far are how easy is to setup an environment (I am using Tensorflow on GPU and did not have to configure anything) and how fast the support is (there were 2 times when I was still using the free plan when I needed to download some datasets for training for some university projects, but the links could not be accessed from the free plan, so I have emailed the support and mentioned the issue and why enabling those links would help me and in a matter of an hour or two the issue was fixed). I am using this service weekly and so far had not any performance issues.

avatar

AmenRey N.

While the platform excels in many areas, I would love to see "more" of a selection in unrestricted Large Language Models readily available. Although you can build them in a fresh VM, it would be nice to have pre-configured stacks to save time and effort.

avatar

Rodrigo A.

The free gpu in the initial tier was a great welcome, shows confidence in thier product.

avatar

Hữu Tín C.

They are very friendly and quickly to solve any problem you have when signing up or using the platform. There are a reason they have an award in user love us. Trust me, it really worth it.

avatar

Cezar T.

The most helpful thing about Saturn Cloud is the performance that you get for the small price. Other helpful things that I have noticed so far are how easy is to setup an environment (I am using Tensorflow on GPU and did not have to configure anything) and how fast the support is (there were 2 times when I was still using the free plan when I needed to download some datasets for training for some university projects, but the links could not be accessed from the free plan, so I have emailed the support and mentioned the issue and why enabling those links would help me and in a matter of an hour or two the issue was fixed). I am using this service weekly and so far had not any performance issues.

avatar

Cyrille M.

What I love most about Saturn cloud is the ability to work with Jupyter notebooks and Jupyter labs, the presence of high computing power, and also the ability to launch jobs without the need for your computer to be actively on.

Saturn Cloud Pricing Rating

Data Science Collaboration: 4.8/5

Saturn Cloud enables team collaboration by providing shared environments where data scientists, analysts, and engineers can work together on projects. The platform allows for real-time collaboration, making it easier for teams to share notebooks, code, results, and insights.

Scalability: 4.7/5

Saturn Cloud allows data scientists to scale up compute resources based on project needs. You can start with small, low-cost instances for development, and when your project requires more power, you can easily scale up to larger GPU, multi-core CPU, or distributed computing environments.

Containerization and Reproducibility: 4.9/5

Saturn Cloud provides Docker containers for each project. This ensures that your data science environment, including all dependencies, libraries, and tools, are easily reproducible. This improves collaboration, consistency, and makes deployment across different environments (from dev to production) much simpler.

FAQ on Saturn Cloud Pricing

Am I charged when my machine is off?

No, except for paying for storage based on the size of your disk.

How do I cancel my account?

Just email support@saturncloud.io

How does Saturn Cloud handle scalability?

Saturn Cloud provides scalable compute environments that allow users to adjust resources based on their needs. You can easily scale from small instances for development and testing to large GPU or distributed compute clusters for more intensive machine learning and data processing tasks. It uses tools like Dask for distributed computing to handle large datasets.

Does Saturn Cloud support GPU-based deep learning?

Yes, Saturn Cloud supports GPU-powered instances, which are ideal for deep learning tasks such as training neural networks with frameworks like TensorFlow, Keras, PyTorch, and more. The platform provides access to NVIDIA GPUs, helping accelerate the training of large models and speeding up the processing of large datasets.