Saturn Cloud Reviews

Summary: I've been using this hosting for a week and I love it

Positive: It's free, it's easy to use and much more things

Negative: Nothing

Summary: My experience was great overall and I'm glad that I found out about this service. I am now using this every day to learn.

Positive: I don't really know what to type here so... yeah. But Saturn Cloud is awesome because I can have free hours of GPU instance uses.

Negative: I didn't really like the ease because I was confused at first but it's okay.

Summary: Overall, Saturn Cloud GPU stands out as a powerful and reliable solution for high-performance computing needs, combining advanced features with user-friendly design, even though there is room for improvement regarding cost efficiency and onboarding support.

Positive: Saturn Cloud GPU delivers exceptional performance with seamless integration into modern machine learning frameworks, offering scalable resources that empower both individual developers and large enterprises to tackle complex computational tasks with ease.

Negative: However, some users mention that the pricing structure can be steep for smaller projects, and the initial setup may present a steep learning curve for those new to cloud-based GPU environments

Summary: Overall I think this a good hosting company but it need some works in some areas. Such as the ip otherwise this is a premium hosting

Positive: I really appreciate the wide range of resources it provides, especially for someone who values performance and efficiency. I really like that it offers a high end graphics card and cpu along with the high amounts of ram capacity .

Negative: I dislike that it has a dynamic Ip and it doesn't set you with an ip like it will switch the following like "x.x.x.142" it will change the last range of things

Summary: The simplicity and clean UX makes Saturn refreshing when coming from Google Cloud or AWS. Which speeds up experimentation significantly. especially for smaller teams and individuals.

Positive: I like how easy Saturn is to get up an running with just an ssh key or a Jupyter notebook, which makes working with and training GenAI models much quicker than using large cloud platforms like AWS.

Negative: Needs more support tailored to training ai models, like providing large datasets.

Summary: I always prefer local computing - my own laptop with my own HDD) But nowadays, it's impossible to train an image ai on a laptop. First, I tried a well-known service from the search giant...) To be honest, I still haven't figured out the terms of providing computing power - your calculations can be stopped at any moment. But then I discovered SaturnCloud. It was my second experience with cloud computing and it was very different from the first! First of all, to test my approaches, code, thoughts - SaturnCloud has provided 100 free hours! This is enough to prepare the code, build a model training pipeline... and start using the pro plan.

Positive: Simplicity and the price.
Big plus for providing 100 free hours!
Availability to use docker images.
Very helpful articles about software installation (docker), algorithms, python...

Negative: Design) But this is completely subjective... Nothing else.

Summary: I would 100% use this again, Saturn Cloud is amazing! I'd always use their amazing services and highly recommend them.

Positive: - very friendly UI
- very amazing free options for users
- beginner friendly and also amazing specs!

Negative: it's an amazing product, just that the timing limit can be a con but besides that its perfect.

Summary: Saturn cloud offer freebies with premium service, the only thing pops up in mind is excellency the offered product and services, just need to sign in and all features already complete for user to use.

Positive: The customer support very responsive and very helpful. i used 2XLarge - 8 cores - 64Gi RAM - 10Gi Disk on free tier, despite of being "free" the service was astonishingly great, had look around for such good service with free tier, and thank God found one.
Thank you Saturn Cloud, i very recommend users to try out their project in Saturn cloud, you wont regret

Negative: Just need automation in registering an account, so that user can register with ease.

Summary: Easy to set up, to connect, and specially the time I can save in my projects makes me faster and loosing less time.

Positive: Super quick compared with local environment. Also I am working with more people and is easy for us to collaborate.

Negative: Nothing. I haven't seen anything bad by using this during a month.

Summary: My overall experience is decent and pretty good so far and it has never disappointed me with its speed and power. I use it for building projects and many more.

Positive: I like the performance and the capability of this cloud platform. The free options available are actually useful.

Negative: There should be more extra free hours so the people can test it more.

Summary: Its currently one of the great choice for making big complex DATA SCIENCE projects and I am doing for the same. Initially you will face difficulty if you haven't use cloud services before but can be managed. Saturn cloud is a great option in deploying other models like llm, cnn, drive program etc. You also get great features in free version which makes it better then other cloud services.

Positive: I like the interface and features supporting PyCharm beside Jupityr Notebook and the customer services is also very pleasant. The main part is user can scale their data science projects, the scalability is better than any other tools in market.

Negative: I think the yearly model pricing can be improved, few designs can be better, more better integration required while working in editor interface. The user experience for beginners can be tough in handling and understanding the Saturn Cloud initially can be worked upon this.

Summary: Overall, my experience with Saturn Cloud has been wonderful. The compute memory has been more than sufficient, and everything works seamlessly without any issues so far. I'm pleased with the platform's performance and reliability. Highly recommend for anyone looking for a smooth and efficient cloud solution!

Positive: I am thoroughly impressed with the compute memory provided by Saturn Cloud. It has been more than sufficient for my project, allowing me to run my applications seamlessly without any performance issues. The platform's reliability and resource allocation have significantly boosted my workflow, and I highly recommend Saturn Cloud for anyone in need of a powerful cloud-based solution for data science and machine learning tasks.

Negative: Everything works fine so far with Saturn Cloud. The compute memory provided has been sufficient for my needs, and I haven't encountered any issues. Happy with the platform's performance to date.

Summary: Unleashing the full potential of open-source LLMs was made possible thanks to Saturn Cloud. Allowing me to seamlessly add GPUs, immensely accelerated my experimentation process, providing a highly customised sandbox-like environment, ideal for any task that can benefit from the specialisation of customised machine learning and data science.

Positive: I’ve maintained an account with Saturn Cloud for the past several months while testing out open-source large language models (LLMs), and it’s been instrumental in the process. The Dask and GPU-support infrastructure has been great at allowing me to scale my experiments efficiently since I can't run LLMs on my local computer. A nifty trick I’ve learned is to run the machine-learning framework with normal CPU threads in the custom environment, and then use dask to allocate workers that propel training forwards. All of these packages work together seamlessly, and the Jupyter Notebook interface is great too for rapid iteration and experimentation. The fact that one can save the workshop makes collaboration and sharing resources with other members of my team possible, and customer support is incredibly responsive and helpful when I encounter any issues.

Negative: The downside is that paying for compute on a smaller scale can be hard if you’re not keeping an eye on things, and it will take some learning if you’ve not used distributed computing with Dask before (but the documentation is rather good).

Summary: Decent support and ease to setup and scale models and api's. Seamless integration have made my life easy more then i can count. Almost as easy as setting up in a local pc.

Positive: Like the integration of Jupyter notebook and how streamlined it is to setup new projects.
Explored different aspect and types of integrations all work smoothly without any trouble.

Negative: Environments and resources for non-LLM tasks are limited.

Summary: I use Saturn Cloud to train machine learning models on large datasets, and it has yet to disappoint. Saturn Cloud is a go to for ML.

Positive: Saturn Cloud offers some great features:
JupyterLab to run your scripts.
The basic compute is a T4-XLarge GPU with 4 CPU cores and 16Gi RAM which is fast even for complex models.
Favorable prices.
Reliable customer service.
Regular free compute every month.

Negative: I have found nothing not to like, but perhaps they could give more free compute hours.