Lightning-Fast Python for 100x Faster Performance

Data Science & Machine Learning for Scalable Python Analytics

Try Saturn Cloud for free

saturn cloud a day

keeps the doctor away

Lightning-Fast Python for 100x Faster Performance

Data Science & Machine Learning for Scalable Python Analytics

Try Saturn Cloud for free

saturn cloud a day

keeps the doctor away

Saturn Cloud

Why Saturn Cloud?

Saturn Cloud is your end-to-end data science & machine learning platform for lightning-fast Python and seamless collaboration. Sign up and start coding in 30 seconds!

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100x Faster Python with Dask
Run models faster, improve accuracy, and get to business value sooner with reliable Python-native tools.
Fully Customizable
Easily customize and share docker images with environment.yml, requirements.txt, or a bash script.
From Research to Production
Automatically deploy into production with fully-managed kubernetes tooling. Deploy dashboards, machine learning models, or scheduled workflows with Prefect.
Reproducible Data Science
Reproduce prior work in a single click, share notebooks with colleagues, and collaborate across teams.

Join our upcoming webinar:

Tuesday, December 8 | 2:30 PM EST
Join us for an interactive discussion with Aaron Richter, Senior Data Scientist at Saturn Cloud, and Mike McCarty, Director of Software Engineering at Capital One. We’ll cover the following:
  • All things XGBoost along with packages, methods, and tips for accelerating XGBoost performance in Python
  • How Capital One achieved significant speed and total cost of ownership (TCO) improvements with XGBoost
  • Options for accelerating XGBoost using cluster computing and GPUs
  • The future of XGBoost and scaling algorithms in Python
  • Q&A Time
Online Livestream Replay available after live event Free
Register

I'm excited to start moving some of my local projects onto Saturn Cloud's AWS because I used to worry about having my data in their public cloud, but now know I have the privacy and security of my own VPC + can use Dask easily for the projects with larger datasets.

AWS Marketplace Review

I'm a data scientist working with a team of marine chemists on a series of peer review journal articles. Saturn Cloud made getting them set up and going a snap. We now have computational power equivalent to what I have used at a Fortune 50 company at a tiny fraction of the cost, and with a much faster time to get up and going.

AWS Marketplace Review
Developer

Dask has helped my team speed up experimentation and iteration by finishing data preprocessing tasks that used to take hours in a matter of seconds. Saturn maintains a Dask cluster so we don't have to, which frees up time for real data science. It's a huge value add.

Global CPG Company
Director of Data Science

One platform. Two options.

Flexible software license: allowing you to cancel anytime.
Pay as you go: You are only billed for the resources you spin up

Saturn Cloud Hosted

Optimized For Individuals

CPU Instances: $0.005 / GB/ Hr
T4 GPU Instances: $0.01 / GB/ Hr
V100 GPU Instances: $0.02 / GB/ Hr
+Cloud instance costs
  • No cloud account needed
  • Optimized for individuals
  • Stable work environment
  • Securely upload your data
  • Customizable Python Environments
  • Multi-node, multi-GPU computing
  • Instant elasticity
  • Managed deployments
  • Collaboration & version control
  • Per-second billing with no commitments
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Saturn Cloud Enterprise

Companies And Large Teams

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CPU Instances: $0.005 / GB/ Hr
T4 GPU Instances: $0.01 / GB/ Hr
V100 GPU Instances: $0.02 / GB/ Hr
Everything in Hosted+
  • Deploy into your private AWS cloud environment
  • Built to scale for large organizations
  • State-of-the-art security architecture provisioned by AWS
  • Your data never leaves your environment
  • Dedicated technical support
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Featured Article

Random Forest on GPUs: 2000x Faster than Apache Spark

We trained a random forest model using 300 million instances: Spark took 37 minutes on a 20-node CPU cluster, whereas RAPIDS took 1 second on a 20-node GPU cluster. That’s over 2000x faster with GPUs.

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