The "Puget Labs ML Dev Server Stack" provides a multi-user, remote access, simple to use, web browser based interface. The "stack" consists of three custom-configured open-source components
- Cockpit web browser based System Administration interface
- Miniconda3 Python 3 distribution with the conda package manager
- JupyterHub serving the JupyterLab web browser based development interface with several ready to use "kernels"; Anaconda3, TensorFlow, PyTorch ...
Don Kinghorn (Scientific Software Architect) Says:
This configuration is being developed with a sincere desire to provide a flexible and simple to use remote, browser accessed, working environment for ML/AI and scientific researchers and developers. I hope that it makes sharing resources and working remotely more easily accomplished and helps you and your team/students do great work! --dbk
This configuration is being developed with a sincere desire to provide a flexible and simple to use remote, browser accessed, working environment for ML/AI and scientific researchers and developers. I hope that it makes sharing resources and working remotely more easily accomplished and helps you and your team/students do great work! --dbk
Developer: Canonical
Features
Cockpit: Web Based Server Administration https://cockpit-project.org/
Conda: Package, dependency and environment management for any language https://docs.conda.io/en/latest/index.html
Anaconda: Data science technology https://www.anaconda.com/
JupyterHub: ... the best way to serve Jupyter notebook for multiple users https://jupyterhub.readthedocs.io/en/stable/index.html
JupyterLab: next-generation web-based user interface for Project Jupyter https://jupyterlab.readthedocs.io/en/stable/
Ubuntu Linux: https://ubuntu.com/
The links above provide source and documentation for software used in the PSLabs ML Dev Server Stack