Extend your

CoCalc

projects with powerful

compute servers. They give you much more power, GPU options, and flexibility for your computations.

From within your

CoCalc

project, spin up and connect to a powerful machine. You simply

tell your terminals and Jupyter Notebooks to run on these machines, or with one click launch JupyterLab or VS Code. These compute servers open up new possibilities by utilizing enhanced computing resources, extending far beyond the bounds of what you can do in your local project.

These servers optionally come with

very competitively priced GPU support, from a single NVIDIA T4 to eight H100's, with many options in between, including L4 and L40, RTX-A4/5/6000, and A100 with 40GB and 80GB. The finely configured software images include

Google Colab, SageMath, Anaconda, Julia, PyTorch, Tensorflow and Open WebUI, accommodating a versatile range of uses. The pre-configured software environments make it very easy to make use of them, right out of the box. You can also run any command as

root, install anything you want, and use Docker and Kubernetes.

Your

files are synchronized. Therefore, you can seamlessly switch between different servers. You also have much more disk storage on the remote machine.

Usage of these machines is billed by the second. The pricing is highly competitive, starting at

under $0.01/hour and under $0.15/hour with a GPU!

You and your collaborators use the same per-project environment, which provides consistent results, synchronized file changes, and automatic revision history so that you can go back in time when you need to discover what changed and when.

You can even publish your

CoCalc

creations to share with anyone via the built-in share server.

Forget the frustration of sending files back and forth between your collaborators, wasting time reviewing changes, and merging documents.

You can think of

CoCalc

as

virtual computer lab in the cloud. It takes away the pain of teaching scientific software.

Hassle-free assignments:

CoCalc

keeps all files well organized! Due to real-time synchronization you never have to deal with multiple versions of the same file. There is even support for

automated grading via nbgrader.

Pre-installed Software like in a computer lab,

all software you need is already installed and ready to use.

Use a full featured collaborative whiteboard – with support for Jupyter notebook cells – to express and share your ideas.

CoCalc

offers a variety of features to make your life easier. You can find a list of all features

here.

The

course license options

are very flexible: they range from small professional training up to large university courses. The students can pay

CoCalc

directly, or you can pay on their behalf, and it is easy to change a license at any time if you need more resources or the number of students changes.

It is very easy to run

CoCalc

on your own computer or cluster. The available options are:

1. Make your computer available in a CoCalc project via an on-prem compute server.
2. Deploy a highly scalable variant of CoCalc on your Kubernetes cluster via CoCalc OnPrem.