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https://issues.apache.org/jira/browse/AIRFLOW-3617?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16890870#comment-16890870
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Catarina Silva edited comment on AIRFLOW-3617 at 7/23/19 10:44 AM:
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[~divyakantyadav] I was trying to add myself as an assignee also, but removed
you, so I put it back. I am trying to develop this and submit a PR, but please
let me know if you're still working on it
You can check it here
[https://github.com/CatarinaSilva/airflow/tree/kubernetes-gpu-support]
was (Author: catarinasilva):
[~divyakantyadav] I was trying to add myself as an assignee also, but removed
you, so I put it back. I am trying to develop this and submit a PR, but please
let me know if you're still working on it
You can check it here
[https://github.com/CatarinaSilva/airflow/tree/kubernetes-gpu-support]
> Kubernetes pod operator: Add support for specifying GPU resources/limits
> ------------------------------------------------------------------------
>
> Key: AIRFLOW-3617
> URL: https://issues.apache.org/jira/browse/AIRFLOW-3617
> Project: Apache Airflow
> Issue Type: Improvement
> Components: operators
> Affects Versions: 1.10.1
> Environment: Example: GKE cluster with nodepool for GPU nodes.
> Reporter: Bjørn Harald Fotland
> Assignee: Divyakant Yadav
> Priority: Major
> Labels: kubernetes
>
> The airflow.contrib.kubernetes.pod.Resources class is limited to specifying
> CPU and memory resources/limits.
> GPU resources are not covered.
> [https://kubernetes.io/docs/tasks/manage-gpus/scheduling-gpus/]
>
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