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https://issues.apache.org/jira/browse/FLINK-17044?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Piotr Nowojski reopened FLINK-17044:
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reopen to remove a release note that shouldn't be a release note
> FLIP-108: Add GPU support in Flink
> ----------------------------------
>
> Key: FLINK-17044
> URL: https://issues.apache.org/jira/browse/FLINK-17044
> Project: Flink
> Issue Type: New Feature
> Components: Runtime / Coordination
> Reporter: Yangze Guo
> Assignee: Yangze Guo
> Priority: Major
> Fix For: 1.11.0
>
>
> With widespread advances in machine learning (or deep learning), more and
> more enterprises are beginning to incorporate ML models across a number of
> products. Supporting the ML scenarios is one of Flink’s roadmap targets. GPU
> is widely used as the accelerator by people from the ML community. It is
> necessary to add GPU support.
> Currently, Flink only supports to request GPU resource in Mesos integration
> while most users and enterprises deploying Flink on Yarn/Kubernetes or
> Standalone mode. Thus, we propose to add GPU support in Flink. As a first
> step, we propose to:
> - Enable user to configure the GPU cores per task executor and forward such
> requirements to the external resource managers (for Kubernetes/Yarn/Mesos
> setups).
> - Provide information of available GPU resources to operators.
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