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How do we set spark_version in cluster policies to select the latest GPU ML LTS version as defaultValue?

Ramana
Contributor

Currently, I use the below two different JSON snippets to choose either Standard or ML runtime. Similar to the below, what is the defaultValue for spark_version to select the latest GPU ML LTS runtime version?

 "spark_version": {

  "type": "regex",

  "pattern": "[1-9][0-9]\\.[0-9].*",

  "defaultValue": "auto:latest-ml"

 }

 "spark_version": {

  "type": "regex",

  "pattern": "[1-9][0-9]\\.[0-9].*",

  "defaultValue": "auto:latest-lts"

  

1 ACCEPTED SOLUTION

Accepted Solutions

LandanG
Databricks Employee
Databricks Employee

Hi @Ramana Kancharanaโ€‹ ,

As of right now these options are only available for non-GPU DBRs

View solution in original post

3 REPLIES 3

LandanG
Databricks Employee
Databricks Employee

Hi @Ramana Kancharanaโ€‹ ,

As of right now these options are only available for non-GPU DBRs

Thank you. Let me know once it is available.

LandanG
Databricks Employee
Databricks Employee

@Ramana Kancharanaโ€‹ for sure, will do.

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