Introducing Julia for Saturn Cloud

Saturn Cloud now supports Julia, the scientific programming language, including GPU support and deployments.

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. This will create a Saturn Cloud resource with all the required software to run Julia code. With these resources you can either use Julia through the JupyterLab IDE, or use other IDEs like VSCode through SSH Connections.

Julia resource template

If you want to create your own resource from scratch instead of using our pre-built templates, click New Jupyter Server and then select the saturn-julia image with a CPU resource or the saturn-julia-gpu image with a GPU resource.

Installing Extra Packages

To install extra packages at resource startup, click on Advanced Options and add the following to your start script section with the appropriate package names. As always, you can add Julia packages manually in your session by using the Julia console.

julia -e 'import Pkg;

Once you create a resource, you can interact with the Julia kernel in Jupyter Lab just like you would with a Python kernel.

Jupyter Lab with Julia Kernel Support

Try Julia on Saturn Cloud for yourself using the button below. An example will open on our free Saturn Cloud Hosted platform, so you can get started in just a few clicks!

Try the code from this blog post in seconds on Saturn Cloud