Yangze Guo created FLINK-17044:
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Summary: 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
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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