Saturn Cloud is an award-winning ML platform with 75,000+ users, including NVIDIA, CFA Institute, Snowflake, Flatiron School, Nestle, and more. It is an all-in-one solution for data science & ML development, deployment, and data pipelines in the cloud. Users can spin up a notebook with 4TB of RAM, add a GPU, connect to a distributed cluster of workers, build large language models, and more in a completely hosted environment.
Data scientists and analysts work best using the tools they want to use. You can use your preferred languages, IDEs, and machine-learning libraries in Saturn Cloud. We offer full Git integration, shared custom images, and secure credential storage, making scaling and building your team in the cloud easy. We support the entire machine learning lifecycle from experimentation to production with features like jobs and deployments. These features and built-in tools are easily shareable within teams, so time is saved and work is reproducible.
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Smooth and bug free experience. There are ready data science images with pre loaded packages for most common scenarios, making you focus on the project/problem and leave the infrastructure part to Saturn Cloud.
True story, way better than just sweating Colab. The best and cheapest compute services there is.
I have started using this to run the computations which generally require like 64+GB of RAM, and the procedure to setup the enviroment is also nice. Got all the R packages running smoothly.
Based on our record, Cloudinary For Video seems to be a lot more popular than Saturn Cloud. While we know about 112 links to Cloudinary For Video, we've tracked only 6 mentions of Saturn Cloud. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Not 100% sure of your intention, but if you work with python, and you're familiar with (or can spend the time learning) dask, and willing to pay, you can consider coiled.io or saturncloud.io that offer managed dask that you can scale and use GPUs etc (again, not sure if applicable to your use case). Source: about 1 year ago
SaturnCloud - Data science cloud environment, that allows to run Jupyter notebooks and Dask clusters. 30 hours free computation and 3 hours of Dask per month. - Source: dev.to / over 1 year ago
I think your site looks good and I have used the type of service you offer, but there are 2 potential problems. As SheepherderPatient51 said,Google already offers all of this for free (and so does https://kaggle.com and https://www.paperspace.com ). There are also other sites just like yours such as https://deepnote.com,https://saturncloud.io, and https://lambdalabs.com . Source: over 1 year ago
* How does it differ from other GPU cloud providers that offer ready to use Jupyter notebooks? (E.g. https://support.genesiscloud.com/support/solutions/articles/47001170102-running-jupyter-notebook-or-jupyterlab-on-your-instance or https://saturncloud.io/). - Source: Hacker News / about 2 years ago
At the moment I am going to go to https://saturncloud.io/ or https://www.cloudeo.group/. Source: over 2 years ago
Cloudinary Account: Sign up for a Cloudinary account at https://cloudinary.com/ and get your API key, API secret, and cloud name. - Source: dev.to / 3 months ago
Cloudinary.com β Image upload, powerful manipulations, storage, and delivery for sites and apps, with Ruby, Python, Java, PHP, Objective-C, and more libraries. The free tier includes 25 monthly credits. One credit equals 1,000 image transformations, 1 GB of storage, or 1 GB of CDN usage. - Source: dev.to / 3 months ago
In this comprehensive guide, we've covered the benefits of integrating Cloudinary with Next.js and provided a step-by-step tutorial on using the next-cloudinary package to easily manage and serve media assets. Following these steps can enhance your web application's performance, optimize media delivery, and provide a superior user experience. Cloudinary is a powerful tool for managing media, and when combined with... - Source: dev.to / 7 months ago
The audio files themselves are hosted on Cloudinary. They were sourced from Artlist.io, a platform that provides tracks for creative projects. You can find and host the audio files with these platforms, but covering that process will complicate this guide. So, for now, we hard-coded the data in songs. - Source: dev.to / 9 months ago
Head over to cloudinary.com and create an account, or login if you've visited before. You're ported over to a Getting Started page, where you are provided with configurations for different SDKs. Under the Node.js SDK, copy the cloud name, API secret, and key. - Source: dev.to / 10 months ago
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