ML Runtimes
ML Runtimes Overview
PBJ Workbench
Dockerfile compatible with PBJ Workbench
PBJ Runtimes and Models
Example models with PBJ Runtimes
ML Runtimes NVIDIA GPU Edition
Testing ML Runtime GPU Setup
ML Runtimes NVIDIA RAPIDS Edition
Using Editors for ML Runtimes
Using JupyterLab with ML Runtimes
Installing a Jupyter extension
Installing a Jupyter kernel
Using Conda Runtime
Installing Additional ML Runtimes Packages
Restrictions for upgrading R and Python packages
Custom Runtime Addons with Cloudera AI
ML Runtimes Environment Variables
ML Runtimes Environment Variables List
Accessing Environmental Variables from Projects
Customized Runtimes
Creating Customized ML Runtimes
Create a Dockerfile for the Custom Runtime Image
Metadata for Custom ML Runtimes
Editor Customization
Build the New Docker Image
Distribute the Image
Adding a new customized ML Runtime through the Runtime Catalog
Limitations
Adding Docker registry credentials