Skip to content
Draft
Show file tree
Hide file tree
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
4 changes: 2 additions & 2 deletions experimental/ray/Makefile
Original file line number Diff line number Diff line change
@@ -1,4 +1,4 @@
KUBERAY_RELEASE_VERSION ?= 1.3.2
KUBERAY_RELEASE_VERSION ?= 1.6.2
KUBERAY_HELM_CHART_REPO ?= https://ray-project.github.io/kuberay-helm/

.PHONY: kuberay-operator/base
Expand All @@ -8,4 +8,4 @@ kuberay-operator/base:

.PHONY: test
test:
./test.sh ${KF_PROFILE}
./test.sh ${KF_PROFILE}
6 changes: 3 additions & 3 deletions experimental/ray/README.md
Original file line number Diff line number Diff line change
Expand Up @@ -86,9 +86,9 @@ kubectl get pod -l ray.io/cluster=kubeflow-raycluster -n $MY_KUBEFLOW_USER_NAMES
#Check Raycluster headless service
kubectl get svc -n $MY_KUBEFLOW_USER_NAMESPACE
```
* `raycluster_example.yaml` uses `rayproject/ray:2.23.0-py311-cpu` as its OCI image. Ray is very sensitive to the Python versions and Ray versions between the server (RayCluster) and client (JupyterLab) sides. This image uses:
* `raycluster_example.yaml` uses `rayproject/ray:2.56.0-py311-cpu` as its OCI image. Ray is very sensitive to the Python versions and Ray versions between the server (RayCluster) and client (JupyterLab) sides. This image uses:
* Python 3.11
* Ray 2.23.0
* Ray 2.56.0

## Step 5: Forward the port of Istio's Ingress-Gateway
* Follow the [instructions](https://github.com/kubeflow/community-distribution/tree/master#port-forward) to forward the port of Istio's Ingress-Gateway and log in to Kubeflow Central Dashboard.
Expand All @@ -106,7 +106,7 @@ kubectl get svc -n $MY_KUBEFLOW_USER_NAMESPACE
# Check Python version. The version's MAJOR and MINOR should match with RayCluster (i.e. Python 3.11.9)
python --version
# Python 3.11.9
pip install -U ray[default]==2.23.0
pip install -U ray[default]==2.56.0
```
* Connect to RayCluster via Ray client.
```python
Expand Down
Loading
Loading