AI engineering glossary · MLOps, LLMOps cloud
What is kubeflow?
Kubeflow: An open-source project for running machine learning workflows on Kubernetes. Its components cover pipelines, notebooks, distributed training and model serving, letting teams describe ML steps as containers and run them at scale.
Kubeflow: an example
A team defines a Kubeflow pipeline of five containerised steps and runs it on its cluster with GPU nodes for training.
Related terms
More MLOps, LLMOps cloud terms
- Kubernetes
- Kubernetes cluster
- Kubernetes deployment
- Kubernetes node
- Kubernetes pod
- Kubernetes Secret
- Kubernetes service
- Liveness and readiness probes
Where you learn it
Kubeflow is part of the AI Engineering Program, which teaches it with notes, a hands-on lab and an exam. The first lesson is free.