Configuration information for the Ray cluster.
For experimental launch, Ray cluster creation and Persistent
cluster creation are 1:1 mapping: We will provision all the nodes within the
Persistent cluster as Ray nodes.
Protobuf type google.cloud.aiplatform.v1beta1.RaySpec
Optional. Default image for user to choose a preferred ML framework(e.g.
tensorflow or Pytorch) by choosing from Vertex prebuild
images(https://cloud.google.com/vertex-ai/docs/training/pre-built-containers).
Either this or the resource_pool_images is required. Use this field if
you need all the resource pools to have the same Ray image, Otherwise, use
the {@code resource_pool_images} field.
Optional. Default image for user to choose a preferred ML framework(e.g.
tensorflow or Pytorch) by choosing from Vertex prebuild
images(https://cloud.google.com/vertex-ai/docs/training/pre-built-containers).
Either this or the resource_pool_images is required. Use this field if
you need all the resource pools to have the same Ray image, Otherwise, use
the {@code resource_pool_images} field.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Hard to understand","hardToUnderstand","thumb-down"],["Incorrect information or sample code","incorrectInformationOrSampleCode","thumb-down"],["Missing the information/samples I need","missingTheInformationSamplesINeed","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-02-06 UTC."],[],[]]
