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Remote Desktop with Multi-user support by Aurora vs Saturn Cloud comparison

 

Comparison Buyer's Guide

Executive Summary
 

Categories and Ranking

Remote Desktop with Multi-u...
Ranking in AWS Marketplace
28th
Average Rating
0.0
Number of Reviews
0
Ranking in other categories
No ranking in other categories
Saturn Cloud
Ranking in AWS Marketplace
9th
Average Rating
10.0
Number of Reviews
6
Ranking in other categories
Data Science Platforms (9th)
 

Mindshare comparison

As of November 2024, in the AWS Marketplace category, the mindshare of Remote Desktop with Multi-user support by Aurora is 1.7%, up from 1.1% compared to the previous year. The mindshare of Saturn Cloud is 0.7%, up from 0.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.
AWS Marketplace
 

Featured Reviews

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Tempreviewerc C - PeerSpot reviewer
Jun 26, 2023
Great support, good availability, and seamless integration capabilities
One of the features I appreciate the most about Saturn Cloud is its seamless integration with Jupyter notebooks. It provides an interface that I am familiar with and use extensively. It makes it easy for me to run, track, and debug my RL models. The second feature I like is the ability to easily scale up and down the resources (like GPUs and CPUs), providing a flexible and cost-effective solution. The third feature that is useful is the availability of pre-configured environments. It saves a lot of time and hassle, especially when working with complex setups involving packages like CUDA and PyTorch.

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Company Size

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Small Business
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Questions from the Community

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What do you like most about Saturn Cloud?
There is plenty of computational resources (both GPU, CPU and disk space).
What needs improvement with Saturn Cloud?
My main suggestion for improvement centers on pricing. Introducing a tier modelled after AWS spot instances would be a game-changer. Users could bid on unused compute capacity, potentially leading ...
What is your primary use case for Saturn Cloud?
I'm leveraging a cloud-based platform for competitive machine learning. Tight deadlines and resource-intensive models demand powerful hardware. The cloud provides scalable GPUs and RAM, letting me ...
 

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Sample Customers

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Nvidia, Snowflake, Kaggle, Faeth, Advantest, Stanford University, Senseye and more.
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