That means

I think the pipeline in ClearML like ML Workflow than pipleline from other frameworks

I don't really understand about remote execution

That means I can use ClearML Agent instead of Kubernetes, right?

Hmm

What's that mean? can you give me an example

I really like ClearML

I want to build end2end mlops platform, so i just use only clear-agent natanM?

So what does the connection between two pipelines mean here?

Yes, I run pipeline from function and this is the error message:
"ValueError: Could not find queue named "services""

I'm really confused when choosing a framework to build our end2end MLOps Platform.

right?

from data versioning, model serving, model experiment

Sorry

can you explain simpler?

I really don't understand about orchestration

Pipeline is combination from various tasks

and PipelineController is the task control, right natanM

Thank you

but

like docker or K8s?

CostlyOstrich36 Help me, please 😄

Can you give me some advices?

I see two versions: clearml and clearml-agent

Thank you

Thank you CostlyOstrich36 , but I don't see you implement pipeline workflow to train model.

In this tutorial, you don't use pipelineController to define workflow to train model.

And I confused about it

I feel ClearML is an end-to-end MLOps platform

I am thinking that ClearML Agent like K8s?