Saturn Cloud Reviews
(Rated by 7 users)
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Payment Methods
- Credit/Debit Cards
Payment Methods
- Verified Store VERIFIED
- Free shipping: Orders $50+
- In-store pickup: Ready in 2 hours
- 30-Day Returns
- Gap Good Rewards (4 brands)
Payment Methods
- Tops: $23 - $70
- Bottoms: $27 - $70
- Outerwear: $34 - $70
- Kids: $29 - $75
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Overall Rating
4.4
Base on 7 Reviews
Ratings by Feature
Ratings by Feature
- Price & Quality4.5
- Good Value4.3
- Customer Service4.8
Recent Customer Reviews (7)
Patrick Eiffel
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Marcel Fruehauf
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Octave Galarneau
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Scott Watts
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Megan Turner
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Bilqiz Korgay
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Ines Propst
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Payment Methods
Accepted Payment Options:
Prices for items on Saturncloud.io vary widely depending on the type of clothing and promotions available. Typical price ranges include:
Credit/Debit Cards
Payment Process
- Payments can be made online during the checkout process.
- For Saturn Cloud credit card payments, options include online payments, mail, or phone calls, but in-store payments are not accepted.
Refund Information
Refunds for returns will be processed back to the original payment method used during the purchase.
Saturn Cloud Pros & Cons
Pros
1
JupyterLab to run your scripts.
2
The basic compute is a T4-XLarge GPU with 4 CPU cores and 16Gi RAM which is fast even for complex models.
3
Favorable prices.
4
Reliable customer service.
5
Regular free compute every month.
6
Unlike Google Colab, the free part of Saturn Cloud is much more robust.
7
The paid part is much more affordable compared to other platforms like Google Colab.
8
Flexibility: Everything that runs in Saturn Cloud is just a docker container with code from your Git repositories. If it can be installed in a Docker container, it can run in Saturn Cloud.
9
Scalability: Run on up to 4TB of RAM and 8 GPU machines. Or scale out with parallel processing jobs, Dask and Ray clusters.
10
Compatibility: Compatible with every ML framework (PyTorch, Tensorflow, Scikit-Learn, XGBoost, lightGBM, RAPIDS) and every visualization stack (streamlit, matplotlib, plotly, dash, bokeh, panel).
11
Controls and Governance: Control the types of machines and the amount of spend your team members can consume, so there are no surprises at the end of the month.
12
Resources: Incredible resources with high RAM and compute, GPUs, and distributed Dask clusters available.
13
Productionize Code: With scheduled jobs or continuous deployments. Totally compatible with Python, R, or other languages and IDEs like VSCode and PyCharm.
14
Manage All Your Work in One Place: Saturn Cloud natively supports Python and R, with support for additional languages available. Use built-in JupyterLab or R servers online, or connect from preferred IDE like VSCode or PyCharm with SSH. Built-in functionality for git repos so you can easily manage your code.
CONS
1
While Saturn Cloud offers a robust platform, it might not be as widely recognized or used as some other platforms in the industry.
2
Some users might find the interface less intuitive compared to other platforms.
3
There might be a learning curve for users who are not familiar with Jupyter notebooks or the specific tools and libraries supported by Saturn Cloud.
Saturn Cloud Features and Benefits
Features
JupyterLab
Run your scripts.
T4-XLarge GPU basic compute
4 CPU cores and 16Gi RAM, fast even for complex models.
Favorable prices
More affordable paid plans compared to platforms like Google Colab.
Reliable customer service
Dependable support.
Regular free compute
Available every month.
Robust free tier
Much more robust than Google Colab.
Flexibility
Everything runs as docker containers with code from Git repositories; supports anything installable in Docker.
Scalability
Up to 4TB RAM and 8 GPU machines; scale out with parallel processing jobs, Dask, and Ray clusters.
Compatibility
Works with every ML framework (PyTorch, Tensorflow, Scikit-Learn, XGBoost, lightGBM, RAPIDS) and visualization stack (streamlit, matplotlib, plotly, dash, bokeh, panel).
Controls and Governance
Control machine types and team spend to avoid end-of-month surprises.
Incredible Resources
High RAM, compute, GPUs, and distributed Dask clusters.
Productionize Code
Scheduled jobs or continuous deployments; compatible with Python, R, VSCode, PyCharm.
Manage All Work in One Place
Native Python and R support; JupyterLab, R servers, IDE connections via SSH, git repo management.
Hosted Free Plan
64GB RAM and GPU instances, JupyterLab, RStudio, Dask; create models, dashboards, jobs at $0/month.
Hosted Pro Plan
Up to 4TB RAM and 8 GPUs, billed hourly in $10 increments.
Hosted Orgs Plan
Team resource sharing, admin tools to monitor and control usage.
Enterprise Plan
Installs in AWS, Azure, Google, Oracle, CoreWeave; advanced security and dedicated support.