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2025-01-11 Using CoCalc's Compute Servers with Course Management for Teaching
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Collaborative Calculation and Data Science

by Sagemath, Inc.

Real-time collaboration for Jupyter Notebooks, Linux Terminals, LaTeX, VS Code, R IDE, and more,
all in one place. Commercial Alternative to JupyterHub.

Powerful Compute Servers with Optional GPUs
Templates:
GPU H100 A100 L40 RTX L4 T4 CPU
Python Sage Julia R PyTorch Tensorflow HPC/Fortran Ollama
Google Cloud PlatformHyperstack GPU Cloud
Use filters above or type here to find a template, then modify it...

Compute server templates
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!
Read the docs and check out some applications.

Extensive Generative AI Integration

Sign In or Sign Up to use ChatGPT.
A wide range of Generative AI Large Language Models are highly integrated into CoCalc. This helps you fix errors, generate code or LaTeX snippets, summarize documents, and much more.

Many Programming Languages

print('Welcome to CoCalc from Sage!', factor(2024))
Welcome to CoCalc from Sage! 2^3 * 11 * 23
CoCalc supports many programming languages. Edit the demo cell on the left and evaluate it by pressing "Run". You can also select a different "kernel", i.e. the programming language that is used to evaluate the cell.

Realtime Collaboration Using Your Favorite Tools

Two browser windows editing the same Jupyter notebook
With CoCalc, you can easily collaborate with colleagues, students, and friends to edit computational documents. We support Jupyter Notebooks, LaTeX files, SageMath Worksheets, Computational Whiteboards, and much more. We have an open world approach giving users as much flexibility in choosing software and hardware as possible.
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. Get started with CoCalc today.

Jupyter, SageMath, LaTeX, and Linux

Jupyter logo

Jupyter Notebooks

CoCalc's own Jupyter Notebook implementation offers realtime synchronization, TimeTravel, automatic grading, side chat, and more.
SageMath sticker logo

Sage Worksheets

Sage Worksheets are similar to Jupyter Notebooks, but made to work well with SageMath. They offer a single-document model that scales to large documents and integrated 3d graphics.
LaTeX Logo

LaTeX\LaTeX Editor

A full LaTeX\LaTeXeditor supporting preview rendering, forward/inverse search, error reporting, and much more.
Tux Linux Penguin

Linux Terminal

The very sophisticated collaborative Linux Terminal makes you incredibly productive. Many programming languages and hundreds of tools are available at your fingertips in a full Ubuntu Linux environment.

Integrated Course Management System

Two browser windows editing the same Jupyter notebook
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.
Real-time Collaboration allows you to virtually look students over their shoulders. You can check their work directly and help them by editing the file or using side-chat communication.

Much More …

Available Software

CoCalc comes with a variety of software pre-installed, includingPython, SageMath, R and Julia . You can install additional software directly in your project as well.

Computational Whiteboard

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

Feature Overview

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

Testimonials

I turned to CoCalc for a few major reasons:

  1. some familiarity with the platform already

  2. instructor/course features

  3. responsive support if needed

  4. transparent pricing

  5. trusted data privacy and handling (avoiding some other platforms for questionable practices)

Setting up the course was straightforward with the website guides, and the message I sent for some advice was promptly replied. Setting up the course was intuitive, from adding students to distributing the handouts. I did not use any grading features for this, as it was a workshop just for learning.

The purchase of computation resources was transparent, intuitive, and easy to navigate. Furthermore, I was pleased with the price and because of the affordability, I was able to keep the project upgraded throughout the entire 3 weeks so that participants could practice in between sessions instead of only during the workshop. This was well received by everyone involved and helped promote self learning.

– Travis, Winter 2024
Kiran Kedlaya

I just found out that my CoCalc class got by far the best course evaluations for any course I've taught at UCSD to date (over 85% on the favorable/unfavorable scale), which makes it a sure thing that I'll be teaching this course again (in some form) next year! Many thanks for the backend work on CoCalc, for the course materials, for the guest lecture...

– Kiran Kedlaya, March 2017

Solutions

Online Service with GPUs

You can start using CoCalc online for free today. Create an account, open your trial project and start exploring CoCalc.
Upgrade your projects to unlock internet access, better hosting quality, and other upgrades by purchasing a license or upgrade via pay-as-you-go and use GPUs and HPC resources via compute servers!

Teach a Course

You can teach a course on CoCalc online!
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.

On-Premises

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.