https://deploy-preview-1991--saturn-cloud.netlify.app/blog/categories/product/Recent content in Product on Saturn CloudHugo -- gohugo.ioSun, 02 Jun 2024 00:00:00 +0000https://deploy-preview-1991--saturn-cloud.netlify.app/blog/deploying-generative-ai-on-saturn-cloud-using-nvidia-inference-microservices/Sun, 02 Jun 2024 00:00:00 +0000https://deploy-preview-1991--saturn-cloud.netlify.app/blog/deploying-generative-ai-on-saturn-cloud-using-nvidia-inference-microservices/Saturn Cloud is an MLOps platform that works on any cloud and for teams of all sizes. Now, users can supercharge AI inference on Saturn Cloud with NVIDIA NIM inference microservices, making it easier for developers to build and deploy generative AI apps and helping enterprises maximize infrastructure efficiency. What is NVIDIA NIM? NVIDIA NIM is a set of inference microservices that help enable the deployment of generative AI models, including large language models (LLMs), in any environment, whether in the cloud, on-premises data centers, or GPU-accelerated workstations.https://deploy-preview-1991--saturn-cloud.netlify.app/blog/introducing-hosted-orgs/Mon, 23 May 2022 00:00:00 +0000https://deploy-preview-1991--saturn-cloud.netlify.app/blog/introducing-hosted-orgs/We at Saturn Cloud are excited to announce our new plan, Saturn Cloud Hosted Organizations. Hosted Organizations provides team capabilities of our enterprise product, all while being hosted on our own systems so you don’t have to manage it yourself. A Saturn Cloud Hosted Organization lets a group of data scientists work together on the cloud. Users can create compute resources with GPUs and distributed clusters, and manage them with the tools they love like git and ssh.https://deploy-preview-1991--saturn-cloud.netlify.app/blog/introducing-julia/Wed, 06 Apr 2022 00:00:00 +0000https://deploy-preview-1991--saturn-cloud.netlify.app/blog/introducing-julia/Do you use the Julia programming language? By design, Saturn Cloud can run any programming language, but until recently, the platform was primarily Python focused. We recently introduced R support and now we’ve added support for Julia. With our new Julia images and resource templates you can use Julia in the cloud in seconds! Use Julia on Saturn Cloud Simply click on the Julia CPU or GPU template resource to get started.https://deploy-preview-1991--saturn-cloud.netlify.app/blog/r-torch/Wed, 09 Feb 2022 00:00:00 +0000https://deploy-preview-1991--saturn-cloud.netlify.app/blog/r-torch/PyTorch, one of the most popular deep learning frameworks in Python, is also available in R! The R package torch, maintained by Daniel Falbel at RStudio, lets you from use Torch from R in a way that has similar functionality to PyTorch in Python while still maintaining the feel of R. On the backend it’s using C++ Torch libraries that get installed when you first use the package. This is distinct from the R version of TensorFlow which requires an entire installation of Python which adds a substantial amount of overhead and maintenance.https://deploy-preview-1991--saturn-cloud.netlify.app/blog/introducing-r/Thu, 13 Jan 2022 00:00:00 +0000https://deploy-preview-1991--saturn-cloud.netlify.app/blog/introducing-r/With Saturn Cloud, you can easily get the technology your team needs, including GPUs, distributed computing clusters like Dask, and the ability to easily collaborate with teammates. Saturn Cloud was originally built to be a platform with a primary Python focus, however, we were repeatedly hearing from our customers that R was just as important to them as Python. While Saturn Cloud, by design, can run any programming language, we wanted to make sure the built-in experience was best in class for R users.https://deploy-preview-1991--saturn-cloud.netlify.app/blog/easily-connect-to-dask-from-outside-saturn-cloud/Fri, 14 May 2021 00:00:00 +0000https://deploy-preview-1991--saturn-cloud.netlify.app/blog/easily-connect-to-dask-from-outside-saturn-cloud/Sometimes you’re running code and you come across such a slow function that you wish that you could run it on some other, faster machine (or set of machines in parallel!). Maybe you’re trying to train 1000 neural networks to generate memes at the same time. Or maybe you have to download 5,000 individual csvs and aggregate each one before combining them. Dask is a great tool for Python users to do such a thing–it lets you pass Python code to a cluster of workers to execute in parallel.