Add user roles diagram

Signed-off-by: Andrey Velichkevich <[email protected]>
kubeflow · Jul 18, 2024 · 14aac85 · 14aac85
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diff --git a/docs/proposals/2170-kubeflow-training-v2/README.md b/docs/proposals/2170-kubeflow-training-v2/README.md
@@ -102,9 +102,10 @@ We propose these APIs:
   to configure infrastructure parameters that are required for the **TrainJob**.
   For example, failure policy or gang-scheduling.
 
-The below diagram shows which resources will be created for LLM fine-tuning with PyTorch.
+The below diagram shows that platform engineers manage `TrainingRuntime` and data scientists create
+`TrainJob`:
 
-![trainjob-diagram](./trainjob-diagram.jpg)
+![user-roles](./user-roles.drawio.svg)
 
 ### Worker and Node Definition
 
@@ -409,6 +410,10 @@ spec:
       path: custom-datasets/yelp-review
 ```
 
+The below diagram shows which resources will be created for LLM fine-tuning with PyTorch:
+
+![trainjob-diagram](./trainjob-diagram.drawio.svg)
+
 ### The Trainer Config API
 
 The `TrainerConfig` represents the APIs that data scientists can use to configure trainer settings:

diff --git a/docs/proposals/2170-kubeflow-training-v2/trainjob-diagram.drawio.svg b/docs/proposals/2170-kubeflow-training-v2/trainjob-diagram.drawio.svg
diff --git a/docs/proposals/2170-kubeflow-training-v2/trainjob-diagram.jpg b/docs/proposals/2170-kubeflow-training-v2/trainjob-diagram.jpg
diff --git a/docs/proposals/2170-kubeflow-training-v2/user-roles.drawio.svg b/docs/proposals/2170-kubeflow-training-v2/user-roles.drawio.svg