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Sign InProject RobbieDemos
  • Getting Started
    • Welcome
    • Running your first Job
    • Remote function - Jupyter Notebook
    • Notebook Runner
    • Command Runner
  • Robbie Concepts
    • Introduction
    • User
    • Run
    • Token
    • Group (aka Team)
    • Environments
    • Workspace
    • Dependencies
    • Job Configuration File
    • Robbie Persistent Disk
  • Robbie Portal
    • Overview
    • Main Menu and Navigation
    • My Profile
    • My Resources
    • Runs
  • Running your experiments on Robbie
    • Overview
    • Command Runner
    • Jupyter Notebooks
    • Robbie Python Remote Functions
    • Robbie Magics
    • Robbie Notebook Runner
    • Matplotlib Support
    • Funding Group, Environment, and Images
  • Robbie Command Line Reference
    • robbie login
    • robbie config
    • robbie run
  • How it works
    • Architecture
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  1. Getting Started

Welcome

NextRunning your first Job

Last updated 3 months ago

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Robbie is an easy-to-use, high-performance computing service that lets you run Python and other programs in the cloud without hassle or complexity. Since it is built for non-developers, you don’t need cloud, IT, or software development skills. Researchers, scientists, and students find Robbie particularly useful for their Python-based Artificial Intelligence/Machine Learning experiments that require the latest GPUs, like the NVIDIA A100 or H100.

Robbie works with your existing tools so that you can get started quickly. If you like building and running experiments in Jupyter Notebooks, Robbie works on popular notebook platforms like JupyterLab, Visual Studio Code, and Google Colab. If you prefer a command line, Robbie supports a modern command-line interface with fun menus and auto-completion.

Supported Platform and Python Virtual Environments

  • Mac, Linux and Windows (with some caveats — see below).

  • Conda and non-Conda Python virtual environments - we recommend using mambaand/or forcing your conda default channel to `conda-forge`.

  • Note: Windows `conda/mamba` support is currently experimentaldue to the platform-specific packages that are installed on the local machine (windows) that are not support on the remote machine (Linux).