Running Jupyter kernel with Conda (Anaconda/Miniconda) environments
Bright Cluster Manager’s data science add-on provides many ML related packages that can be used to run AI workloads on...
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Using enroot and pyxis in Bright Cluster Manager
These instructions are not relevant for installations of Bright Cluster Manager 9.1 and newer. An integration with enroot and pyxis... -
Installing and using GNOME windows manager with Jupyter and VNC
It it possible to use Gnome WM with Jupyter and VNC integration. Then it is required to reboot or re-sync... -
Running Jupyter kernels with an IDE
Bright Cluster Manager’s data science add-on provides many ML-related packages that can be used to run AI workloads on a... -
Raising timeouts to start Jupyter kernels
When a user starts a new kernel, different options determine how much time Jupyter will wait for it to be... -
Optimizing and validating JupyterHub setup to support more user sessions
The default configuration of Bright’s Jupyter integration supports up to 1000 users on a single login node as long as...