diff --git a/docs/proposals/2170-kubeflow-training-v2/README.md b/docs/proposals/2170-kubeflow-training-v2/README.md
index 0f2c3a2cc1..46c5d1054a 100644
--- 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
new file mode 100644
index 0000000000..74e041dca0
--- /dev/null
+++ b/docs/proposals/2170-kubeflow-training-v2/trainjob-diagram.drawio.svg
@@ -0,0 +1,4 @@
+
+
+
+
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diff --git a/docs/proposals/2170-kubeflow-training-v2/trainjob-diagram.jpg b/docs/proposals/2170-kubeflow-training-v2/trainjob-diagram.jpg
deleted file mode 100644
index 08ab3508a1..0000000000
Binary files a/docs/proposals/2170-kubeflow-training-v2/trainjob-diagram.jpg and /dev/null differ
diff --git a/docs/proposals/2170-kubeflow-training-v2/user-roles.drawio.svg b/docs/proposals/2170-kubeflow-training-v2/user-roles.drawio.svg
new file mode 100644
index 0000000000..9a5dc29b82
--- /dev/null
+++ b/docs/proposals/2170-kubeflow-training-v2/user-roles.drawio.svg
@@ -0,0 +1,4 @@
+
+
+
+