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https://issues.apache.org/jira/browse/SPARK-24491?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16505518#comment-16505518
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Apache Spark commented on SPARK-24491:
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User 'alexmilowski' has created a pull request for this issue:
https://github.com/apache/spark/pull/21511
> Support for requesting GPU resources on K8S
> -------------------------------------------
>
> Key: SPARK-24491
> URL: https://issues.apache.org/jira/browse/SPARK-24491
> Project: Spark
> Issue Type: New Feature
> Components: Kubernetes
> Affects Versions: 2.3.0
> Reporter: Alex Milowski
> Priority: Minor
>
> If GPU resources are required for executor PODS in a multi-tentan k8s
> cluster, the resource limits section needs to specify that GPUs are required
> [1]. This is a simple request:
> {{resources:}}
> {{ limits:}}
> {{ nvidia.com/gpu: 1 # requesting 1 GPU}}
> A simple configuration limit could be specified (just like executor memory):
> {{ --conf spark.kubernetes.executor.limit.gpus=1}}
> [1] [https://kubernetes.io/docs/tasks/manage-gpus/scheduling-gpus/]
> I have an implementation I will submit via a pull request.
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