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JupyterHub multiple user server + GPU Support + RStudio and VSCode

JupyterHub multiple user server + GPU Support + RStudio and VSCode

By: Inmatura Latest Version: 2.4.0
Linux/Unix
Linux/Unix

Product Overview

The JupyterHub AMI provides a multi-user JupyterHub installation with easy user management that can be launched on any AWS EC2 instance types.

It gives users access to AI and data science tools and resources without installation and maintenance tasks while providing the full flexibility of managing your own infrastructure. No vendor Lock-In.

  • Immediately start using your JupyterHub installation, no SSH required to launch any services
  • Multiple IDEs including JupyterLab, Jupyter Classic Notebook, RStudio IDE, and VSCode
  • Multiple Python and R versions installed and configured
  • A set of most popular Open Source packages installed and configured
  • Easily installation of more packages, you have control
  • Basic set of extensions installed without cluttering the server so you can configure the installation as needed
  • Manage access of multiple users using an industry-standard system based on KeyCloak
  • Easily connect to external LDAP or Kerberos to federate users from KeyCloak
  • Easily configure a custon DNS for SSL termination
  • GPU and multiple version of CUDA installed for the best usage of PyTorch and TensorFlow
  • No per RAM or CPU pricing. Just a small fee for the AMI and use any EC2 instance type including GPUs
  • Based on Ubuntu 22.04
  • Free trial

For more information take a look at the documentation:
https://aws.inmatura.com/ami/jupyterhub/

Version

2.4.0

Operating System

Linux/Unix, Ubuntu 22.04

Delivery Methods

  • Amazon Machine Image

Pricing Information

Usage Information

Support Information

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