How Do I Create Docker images to use NVIDIA GPUs with Spark and XGBoost via RAPIDS?
The steps described in this page can be followed to build a Docker image that is suitable for running distributed...
- Home
- Machine Learning
Machine Learning
-
-
How to install Kubeflow on Bright Cluster Manager 9.1
Security considerations The following security issues must be considered before installing KubeFlow on your Kubernetes setup: Kubeflow has full access... -
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... -
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... -
How to create a Docker image to run Jupyter kernels
This article demonstrates a procedure to create a Docker image which can be used to run Jupyter kernels via Kubernetes.... -
How to run SLURM jobs in Singularity containers via Jupyter
In this article we are going to demonstrate a procedure to run SLURM jobs in Singularity containers by Jupyter on...
Need Support?
Can't find the answer you're looking for? Don't worry we're here to help!
CONTACT SUPPORT