Saturn Cloud Reviews

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.

Summary: I am recommending this service as the setting up of the development is easy, can be linked it with GitHub repositories and the code can be written up directly in the web interface through Jupyter Lab

Positive: I like the performance that it provides for the small prices they have. I am currently training some neural networks using Tensorflow and the configuration is provided by default when starting a new resource, no need for complications with setting up the environment

Negative: For the moment there is no major problem. The only thing that could sometimes be slightly annoying the slow start time of a resource.

Summary: I found Saturn Cloud by chance and it has been a real blessing. I use it for training machine learning models and it has yet to let me down.

Positive: There is ease of use, the Saturn Cloud interface is easy to use even for beginners.
Saturn Cloud offers free compute every month.
The pricing of Saturn Cloud products is affordable, even for someone with limited budget and in need of substantial computing power.
The customer service is great.

Negative: there is nothing not to like about Saturn Cloud, be it customer service or products available.

Summary: If you are planning to try cloud computing Saturn Cloud could be a good starting point for those who do not want spend days on DevOps, before running their experiments.

Positive: - easy UX for configuring resources;
- comfortable rates;
- support that works;
- easy integration with local environment;

Negative: As for my experience, I did not find anything that could be identified as cons.

Summary: A combination of a fair price point and unparalleled user experience sets this product apart. It offers excellent value for money without compromising on quality or functionality. Users can expect a seamless and enjoyable interaction with the product, ensuring satisfaction and reliability. With a focus on customer satisfaction, this product delivers the best possible experience at a price that is accessible to all. It's a win-win situation, where users get top-notch performance without breaking the bank, making it the ideal choice for those seeking affordability without sacrificing quality.

Positive: Software is dependable, easy to set up, and works seamlessly with JupyterLab. You can trust it to work well without any bugs or issues. Setting it up is a breeze, so you won't waste time struggling with complicated configurations. Plus, it's fully compatible with JupyterLab, making it a perfect fit for your workflow. With this software, you can focus on your work without worrying about technical difficulties getting in your way. It's designed to be user-friendly and efficient, ensuring that you can get started quickly and stay productive without any headaches.

Negative: There are no particular concerns or problems to mention; everything is operating as expected and without any noticeable issues.

Summary: Saturn Cloud has changed the way I work with data! Its ease of scaling resources means I'm never waiting for hardware – I can spin up powerful instances within minutes to tackle even the most demanding models. Collaboration is a breeze with shared workspaces, and the integrated Dask and Jupyter environments are an absolute lifesaver for distributed computing. Saturn Cloud takes the hassle out of cloud infrastructure, letting me focus on what I love – building amazing things with data.

Positive: Infrastructure Hassles: Setting up and managing cloud infrastructure for data science can be intimidating and time-consuming. Saturn Cloud abstracts away this complexity, letting you spin up the right resources for your work with a few clicks.
Hardware limitations: Local machines often can't handle the computational demands of large datasets or intensive machine learning models. Saturn Cloud provides access to powerful hardware, including GPUs, without expensive upfront investment.

Negative: Honestly have not found any significant cons. All is good.

Summary: It has been quite good and am able to download open source tools very easily. It is genuine and trustworthy and safe from viruses.

Positive: - Flexible and easy to use
- Vast library of Open Source Tools
- No hassles during installation
- Has latest version of Open Source Tools

Negative: - Sometimes there are some third party tools that get installed along with Open Source Tools

Summary: Great product overall, especially for students wanting free GPU compute like me. Would recommend for sure.

Positive: I have used Saturn Cloud to bulk generate images, train neural networks, and even run LLMs. Setting up a Jupyter Notebook was very easy and only took a few clicks. I got 30 free GPU hours, which regenerates regularly.

Negative: I didn't find anything that was particularly bad. Their website could use a dark mode theme though.

Summary: Saturn cloud has helped help me practice my machine learning and training skills. Without Saturn cloud, I wouldn't have had this much knowledge that I am carrying right now.

Positive: I love how fast Saturn cloud GPUs are. Starting with the most basic ones, they run fast compared to Colab. I experienced this firsthand while training the diffusion model, it ran faster on Saturn cloud despite all being Nvidia T4s. Also, Saturn cloud gives you a definite limit so you are aware of your timeouts. Other providers like Colab will delete your resources and leave you gnashing your teeth.

Negative: Well, none is perfect. Am not fond of the vanilla jupyter interface. Could be enhance I guess to include like code line numbers, some nice themes.

Summary: Easy to use, and nice free tier. The service allows me to easily spin up a machine, which I can use for remote development of models, using e.g. a GPU or multi-core CPU.

Positive: Easy to spin up machines, and the free tier offers decent GPUs. Especially nice that they allow SSH connections rather than only notebooks.

Negative: The free tier only has data storage for about a month (if unused). Wasn't aware of this so I lost some data.

Summary: Overall it's a good investment. I tried setting up my remote server on some other platforms and they had more options but it was confusing. Saturn-cloud is the easiest one to setup.

Positive: Its way better and cheaper than the other available options in the market. Specially setting up AWS or Google cloud was a lot of effort.

Negative: The SSH is a bit tricky as it is only through RSA keys.