295 Saturn Cloud Reviews
Overall Review Sentiment for Saturn Cloud
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What I like the most about Saturn Cloud is the flexibility of the service provided, the power of the GPU's and the possibility to work with GitHub which allows to integrate the projects into my workflow. Also it was very easy to start using it as the workspace runs linux. On the other hand, I got additional hours because I enrolled in a course and I had to contact the customer support to enable it, the attention was fast and easy, with the given additional hours I found myself working frequently to train my models and keep on learning. Review collected by and hosted on G2.com.
The only thing I dislike about Saturn cloud is that loading the image takes a considerable amount of time, ranging to almost five minutes and the management of secrets and keys which I never used in the past and I found a little confusing. Review collected by and hosted on G2.com.
GPU facility and easily connect github and work on our project. Review collected by and hosted on G2.com.
Pricing plan is little bit expensive. May be it due to economic level of my country Review collected by and hosted on G2.com.
It gives free GPU among other types of resources and it is very easy to use. Review collected by and hosted on G2.com.
I wish that regular users has more resources available, like more GPU per month as certain models require much more than a couple hours to train and as a result the default period of time allocated for a regular user may not be helpful in most situations. Review collected by and hosted on G2.com.
The flexibility to accommodate other technologies and ability to use both R and Python within their most liked platform Review collected by and hosted on G2.com.
Requires some learning curve. It would be great to have videos displaying how to use certain sections, especially for begineers who do not master command lines. Review collected by and hosted on G2.com.
From the moment I started using Saturn Cloud, it became vividly clear that this platform is a game-changer for researchers, data scientists, and machine learning engineers alike. The ease of spinning up Jupyter instances, coupled with the seamless scalability of resources, has remarkably streamlined my workflow.
As a data scientist, the ability to effortlessly scale from a modest dataset on a single machine to vast arrays of data processed across a distributed Dask cluster has not only saved invaluable time but also expanded the horizons of what I can achieve with my data. The integrated environment supports a variety of languages and libraries, which fosters a truly polyglot approach to data analysis and model building.
For machine learning engineers, Saturn Cloud provides a robust and versatile platform that supports the end-to-end machine learning lifecycle. The ease with which one can manage models, from training to deployment, makes it an indispensable tool in the modern ML toolkit.
Researchers benefit from the collaborative features that allow for sharing and reproducing experiments with peers, ensuring that groundbreaking work is not hampered by technical limitations. The platform's commitment to high-performance computing with GPU support means that computationally intensive tasks are handled with elegance and efficiency.
Saturn Cloud has eloquently fulfilled the needs of the data community by providing a platform that is as powerful as it is user-friendly. Their dedication to facilitating high-level data analysis and model development without the usual infrastructure headaches is why I'm giving Saturn Cloud a well-deserved five-star rating. Whether you're a solo data explorer or part of a large team, Saturn Cloud stands out as the celestial body guiding the data cosmos. Review collected by and hosted on G2.com.
It is a pay as you go and may create cost runs. Review collected by and hosted on G2.com.
The resources available are very amazing! We get to use an 8 core CPU with 64GB RAM right away! For GPU, we get 4core CPU, 16GB RAM along with a Tesla T4! These are among the best freely avalable resources for researches to begin with their ML journey.
Moreover, getting started is very easy. We can realdily import our python files and implement our models for training within a few minutes! Loading a required system image with inbuilt libraries is a plus!
I keep useing it regularly, without facing any server issues! This platform works very well most of the libraies available like CuDNN and pytorch readily inegrated. Review collected by and hosted on G2.com.
The one and only disadvantage is that the resources are avalable for 30hrs per month. As long as you have multiple gmail accounts, this is nothing to worry about! Review collected by and hosted on G2.com.
I have been using saturn cloud for a couple of days now and I like easy it is to navigate the ui and how detailed the documentation is. I know I will be sticking with saturn cloud for a long time based on my experiences Review collected by and hosted on G2.com.
For now, it has been a smooth ride and no dislike yet. Review collected by and hosted on G2.com.
