MLOps Tutorials

The following tutorials are available to help you get started with MLOps on DKubeX. Click on the links below to access the respective tutorials.

Creating a Ray Cluster in DKubeX

Learn how to create and manage Ray clusters in DKubeX.

./creating-a-ray-cluster-in-dkubex.html

Training a ML Model in DKubeX / Running Ray Jobs

Explore how to train a ML model with Ray jobs in DKubeX, along with registering the trained model on MLFlow.

./training-a-ml-model-in-dkubex.html

Deploying and Inferencing a ML Model in DKubeX

Understand how to deploy a trained ML model for inferencing using DKubeX.

./deploying-and-inferencing-a-ml-model-in-dkubex.html

The tutorials provided above guides you to run the MLOps workflows from the DKubeX UI. Apart from the above tutorials, you can also run MLOps workflows on DKubeX CLI. The following tutorials demonstrate how to perform ML model training using DKubeX CLI.

Training Fashion MNIST model in DKubeX CLI

Learn how to train a Fashion MNIST model using DKubeX CLI.

./mnist-training.html

Training Fashion MNIST model in DKubeX CLI using GPU

Learn how to train a Fashion MNIST model using DKubeX CLI with GPU support.

./mnist-training-gpu.html

Deploying models registered in MLFlow in DKubeX CLI

Learn how to deploy models registered in MLFlow using DKubeX CLI.

./serving_mlflow.html

Deploying ML Models from Huggingface Repo in DKubeX CLI

Learn how to deploy models from Huggingface repository using DKubeX CLI.

./serving_hface.html