nbox-specimens

This repository contains follow along material and examples of using nbox. In case you do not have nbox installed:

pip install nbox

# call on CLI once to authenticate
nbx why

If any of the examples break, please try updating nbox to the latest version.

🍇 How to use NBX-Projects

• projects_01: Use the NimbleBox projects to train a pytorch model, visualise the logs and store the relevant artifacts.
• The stable-diffusion AI startup: [GPU] Train a Stable Diffusion model and serve it.
• Mastering Blackjack with Q-learning: Train a Q-learning agent to play Blackjack.

🌳 Service-Specific

The projects here are used to demonstrate how to run different kinds of workloads and not the content of the operation.

• [Jobs] Sklearn Tests: Train a simple kmeans model and store the resulting chart in a Relic.
• [Serving] Pose Model: Deploy a mediapipe pose detection model on a kubernetes cluster (w/o YAML 😛)
• [Serving] FastAPI: Deploy a FastAPI server on a NBX-Serving
• [Jobs] DeepSpeed: [GPU] Train a MobileViT using DeepSpeed

🌌 More ambitious projects

These are projects are for the ambitious ones who want to try out more advanced features of NBX.

• Compute Fabric: Attach powerful cloud compute and super power your local developement