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feat(components): Allowing google_cloud_pipeline_components ModelDeployOp the ability to deploy on spot instances #11233

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VertexAI allows deployment on Spot VMs for lower cost. This change adds the ability to deploy to Spot VMs from ModelDeployOp component.

VertexAI docs to use Spot VMs: https://cloud.google.com/vertex-ai/docs/predictions/use-spot-vms
Dedicated Resources docs showing spot instance field: https://cloud.google.com/vertex-ai/docs/reference/rest/v1/DedicatedResources

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Hi @stephenleo. Thanks for your PR.

I'm waiting for a kubeflow member to verify that this patch is reasonable to test. If it is, they should reply with /ok-to-test on its own line. Until that is done, I will not automatically test new commits in this PR, but the usual testing commands by org members will still work. Regular contributors should join the org to skip this step.

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@stephenleo stephenleo changed the title feat(components): Adding ability to deploy on spot instances feat(components): Allowing google_cloud_pipeline_components the ability to deploy on spot instances Sep 21, 2024
@stephenleo stephenleo changed the title feat(components): Allowing google_cloud_pipeline_components the ability to deploy on spot instances feat(components): Allowing google_cloud_pipeline_components ModelDeployOp the ability to deploy on spot instances Sep 21, 2024
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@kubeflow/kubeflow-steering-committee I'd love to get any feedback on this change.

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