Hi RobustFlamingo1
The ClearML Orchestrator looks interesting. But the website suggests that K8S is required
No k8s is not a must, only an option 🙂
We have a Linux training box (LambdaBox) where we want to run training. Can we place the ClearML orchestrator agent on the machine without needing K8S?
Yes should be quite easy.
If you intent to use containers, make sure you have docker installed.
Then just pip install clearml-agent and configure it:
https://clear.ml/docs/latest/docs/getting_started/mlops/mlops_first_steps
wdyt?
RobustFlamingo1 , I think this is because you looked at 'Orchestrate for DevOps' and not 'Automate for Data Scientist'. If you switch to the other option you will see no K8S is required 🙂
I am guessing that the use-case shown there would be more what you're looking for. The K8S is something for larger scale deployments when the DevOps guys set up the system to run on K8S cluster
Hi RobustFlamingo1 ,
Can you point to where the website suggests that K8S is a requirement?
I use the ClearML-Agent on a local machine without any K8S. It is certainly not a requirement. From what I understand you can run it on K8S as well.
So to answer your question:
You can definitely use ClearML Orchestration (ClearML-Agent) with OR without K8S
I hope this helps 🙂
CostlyOstrich36 Thanks for the answer!!!
This is on: https://clear.ml/products/clearml-orchestrate/