Try Gemini 1.5 models , our newest multimodal models in Vertex AI, and see what you can build with a 1M token context window.
Try Gemini 1.5 models , our newest multimodal models in Vertex AI, and see what you can build with a 1M token context window.
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Delete the Ray cluster on Vertex AI
When you've finished developing an application on your Ray on Vertex AI cluster, delete the cluster to avoid unnecessary billing.
Note: The cluster name may not be reusable for up to 2 hours after you delete the
cluster.
Console
In the Google Cloud console, go to the Ray on Vertex AI page.
Go to the Ray page
Select the Ray on Vertex AI cluster you want to delete.
Click Delete .
Vertex AI SDK for Python
From the same Python environment where you connected to your Ray on Vertex AI cluster, run the following:
# Shut down the Ray on Vertex AI if currently connected
ray.shutdown()
# Delete cluster
vertex_ray.delete_ray_cluster(CLUSTER_RESOURCE_NAME)
Where:
CLUSTER_RESOURCE_NAME : CLUSTER_RESOURCE_NAME='projects/{}/locations/{}/persistentResources/{}'.format(PROJECT_ID , LOCATION , CLUSTER_NAME ).
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Last updated 2024-05-14 UTC.
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