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https://issues.apache.org/jira/browse/DLAB-1763?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Vira Vitanska updated DLAB-1763:
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Summary: Running code for Data Engine (spark Standalone) does not use GPU
(was: Running code for Data Engine does not use GPU)
> Running code for Data Engine (spark Standalone) does not use GPU
> ----------------------------------------------------------------
>
> Key: DLAB-1763
> URL: https://issues.apache.org/jira/browse/DLAB-1763
> Project: Apache DLab
> Issue Type: Bug
> Components: DLab Main
> Reporter: Vira Vitanska
> Assignee: Demian Mysakovets
> Priority: Major
> Labels: AWS, AZURE, Debian, DevOps, GCP,
> Known_issues(release2.3), RedHat
> Fix For: v.2.4
>
> Attachments: AWS Spark cluster.png, GCP Spark cluster on Tensor.png,
> GCP Spark cluster.png, GCP Spark cluster2.png
>
>
> *Preconditions:*
> 1. Data Engine is created with shape for GPU
> *Steps to reproduce:*
> 1. Run code that use GPU for Data Engine Service
> *Actual result:*
> 1. GPU is not used
> *Expected result:*
> 1. GPU is used
> ----
> Code which use GPU
> 1. [https://weeraman.com/put-that-gpu-to-good-use-with-python-e5a437168c01]
> 2. [https://www.geeksforgeeks.org/running-python-script-on-gpu/]
> ----
> (i) Spark cluster creation uses notebook image, so if notebook has been
> created not on GPU the Spark cluster will be created not on GPU as well, even
> if you use GPU size for creation.
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