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Amazing prices and service
What do you like best about the product?
After comparing prices, I found that Saturn Cloud had the best prices.
What do you dislike about the product?
It would be great if local payment options and server regions were available.
What problems is the product solving and how is that benefiting you?
Cheap and powerful CPU and RAM.
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Lots of embbed functionalities to work with AI
What do you like best about the product?
Intuitive and lots of applications to use while doing machine learning.
What do you dislike about the product?
No aspect to refer in this matter, im really enjoying the experience
What problems is the product solving and how is that benefiting you?
Maintaining my files and configs inside the provided hardware saves a lot of time, it makes my life much more productive.
Smooth riding
What do you like best about the product?
The onboarding experience was superb. Real easy to get going. Add to that some quite affordable pricing and nice bonuses. Out of several companies offering Cloud/AI services, these guys really seem to have nailed it.
What do you dislike about the product?
It's too early to say. Nothing bad so far.
What problems is the product solving and how is that benefiting you?
Access to solid hardware in an environment tailor-made for this kind of stuff.
Happy to access to a powerful tool
What do you like best about the product?
the easy way to configure VM, environment...
What do you dislike about the product?
now, still nothing...
I would like use before to say nothing not useful
I would like use before to say nothing not useful
What problems is the product solving and how is that benefiting you?
big query
Easy and convinient and nice support for ML
What do you like best about the product?
I have used the Saturn Cloud for my University project on ML, it is user friendly and the support available for R and python are great and with Dask integrated it is really useful.
I have also used Colab and I ind saturn cloud more usefull and easy to use compared to google colab, when compared with the free versions. As I have used free version on both the platforms.
I have also used Colab and I ind saturn cloud more usefull and easy to use compared to google colab, when compared with the free versions. As I have used free version on both the platforms.
What do you dislike about the product?
I am using this platform sitting in Germany and I found the upload speed for the files could be made better also, when we are running the program what is the level of resource being consumed if we can see that it would be great i think. Otherwise it is a great platform and I will prefer using this then others.
What problems is the product solving and how is that benefiting you?
Biggest problem being solved is the harware requirement and inbuild support for the Dask, it helps run large dataset for ML.
A truly portable data science package
What do you like best about the product?
Easy to prepare a working environment with specific requirements that suit well with machine learning project (e.g. TensorFlow 2.9 paired with python 3.10). Saturn Cloud surely knows what exactly practitioners need when it comes to renting data science in cloud service.
What do you dislike about the product?
A GPU load ramp up to a max level instantly despite retraining models to customised datasets containing hundreds of images. Could have been better if any adjustment/update on GPU instances had been applied.
What problems is the product solving and how is that benefiting you?
Used to work on my local machine and ended up having many different environments that took up space in my hard disk. Saturn Cloud helps me a lot in doing the job.
All the technologies that I use and I like in one place.
What do you like best about the product?
The software is user friendly and works in all platforms
What do you dislike about the product?
There is nothing that I particularly disliked.
What problems is the product solving and how is that benefiting you?
Optimization related model building and deployment
One of the Easiest to use and Motst scalable Cloud providers for all Machine Learning Tasks
What do you like best about the product?
Easy to deploy within minutes. It has ready made docker images for a very wide variety of use cases. Not only does it have the popular docker images for Tensorflow, Keras, but also the unpopular ones such as RAPIDS
I had tried using the RAPIDS images on other cloud providers but would constantly get errors. SaturClouds images are bug free and and hardware resources have 100% uptime
I had tried using the RAPIDS images on other cloud providers but would constantly get errors. SaturClouds images are bug free and and hardware resources have 100% uptime
What do you dislike about the product?
I have nothing at all to dislike about saturn cloud.
What problems is the product solving and how is that benefiting you?
Whenever I require machine learning training which is not possible with my current hard ware resources I resort to saturn coud. Im also using saturn cloud's very useful feature of running a scheduled job where saturn cloud starts once a month and downloads the most latest data and traings my ML model and uploads the latest trained ML model to my deployment server.
Saturn Cloud in 2023
What do you like best about the product?
Easy to implement, fair pricing, powerful backends
What do you dislike about the product?
there is nothing much to complain. almost perfect
What problems is the product solving and how is that benefiting you?
It provides gpu solutions with good pricing
A big time-saver for a data science team. Also great customer service.
What do you like best about the product?
Saturn Cloud works great, and seamlessly takes away a lot of the cloud engineering hassle that small data science teams don't want to worry about. Also super quick customer service!
What do you dislike about the product?
The pricing model is not the most transparent. I wish there would be a feature that showed the real-time cost of running a Jupyter notebook.
What problems is the product solving and how is that benefiting you?
Data scientists don't have to worry as much about Docker images. One can just use Jupyter Notebooks in the cloud as seamlessly as you would locally, and all the complicated engineering is abstracted away.
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