cocalc.comCollaborative Calculation and Data Science

Contact Store Features Docs Share Support News About Sign Up Sign In 2024-04-18 Using JupyterLab on CoCalc Compute Servers jupyter vm All news... by Sagemath, Inc. Sign Up Sign In Running On-Prem Compute Servers on CoCalc More Videos CoCalc Overview More Videos Using AI in CoCalc More Videos Using JupyterLab in CoCalc More Videos Using OpenWebUI and Ollama On CoCalc More Videos R Studio on CoCalc More Videos PyTorch with a GPU on CoCalc More Videos JAX Quickstart on CoCalc using a GPU (or on CPU) More Videos Running On-Prem Compute Servers on CoCalc More Videos CoCalc Overview More Videos Using AI in CoCalc More Videos Using JupyterLab in CoCalc More Videos Using OpenWebUI and Ollama On CoCalc More Videos R Studio on CoCalc More Videos PyTorch with a GPU on CoCalc More Videos JAX Quickstart on CoCalc using a GPU (or on CPU) More Videos Running On-Prem Compute Servers on CoCalc More Videos 1 2 3 4 5 6 7 8 Realtime collaborative Jupyter notebooks , LaTeX , Markdown, and Linux with GPUs Powerful Compute Servers with Optional GPU Support Extend your CoCalc projects with powerful compute servers . They give you much more power, optional GPU support, 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 machines optionally come with extensive 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 SageMath, Anaconda, Google Colab , 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 local and remote computing. 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 . More about compute servers on CoCalc Extensive Generative AI Integration ChatGPT Sign In or Sign Up to use ChatGPT . Ask 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 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 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. Everyone's code runs in 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 Notebooks CoCalc's own Jupyter Notebook implementation offers realtime synchronization, TimeTravel, automatic grading, side chat, and more. 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 \LaTeX L A T E ​ X Editor A full LaTeX \LaTeX L A T E ​ X editor supporting preview rendering, forward/inverse search, error reporting, and much more . 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 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. More about teaching on CoCalc Much More … Available Software CoCalc comes with a variety of software pre-installed, including Python , SageMath , R and Julia . You can install additional software directly in your project as well. All available software Computational Whiteboard Use a full featured collaborative whiteboard – with support for Jupyter notebook cells – to express and share your ideas. Computational whiteboard Feature Overview CoCalc offers a variety of features to make your life easier. You can find a list of all features here . Features overview 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 ! Products Overview 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. Course Licenses On-Premises It is very easy to run CoCalc on your own computer or cluster. There are three options available: Make your computer available in a CoCalc project via an on-prem compute server . Deploy a highly scalable variant of CoCalc on your Kubernetes cluster via cocalc-cloud . On-Premises Offerings Product Store Features Licenses Pricing On Premises System Status Resources Documentation Compute Servers Public Share Software System Monitor Support Company About Contact Events Team News...