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https://issues.apache.org/jira/browse/SUBMARINE-1399?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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cdmikechen updated SUBMARINE-1399:
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Description:
According to nvidia's policy, CUDA image container tags have a lifetime. The
tags will be deleted Six Months after the last supported "Tesla Recommended
Driver" has gone end-of-life OR a newer update release has been made for the
same CUDA version.
[https://gitlab.com/nvidia/container-images/cuda/-/blob/master/doc/support-policy.md]
Therefore, we should plan for the tag of the cuda image, and update the new
cuda once for each release of the submarine.
* 0.8.0: cuda 11.0.3
* 0.8.1: cuda 11.1.1
* 0.9.0: cuda 12.2.0
was:
According to nvidia's policy, CUDA image container tags have a lifetime. The
tags will be deleted Six Months after the last supported "Tesla Recommended
Driver" has gone end-of-life OR a newer update release has been made for the
same CUDA version.
[https://gitlab.com/nvidia/container-images/cuda/-/blob/master/doc/support-policy.md]
Therefore, we should plan for the tag of the cuda image, and update the new
cuda once for each release of the submarine.
> jupyter-gpu upgrade plan
> ------------------------
>
> Key: SUBMARINE-1399
> URL: https://issues.apache.org/jira/browse/SUBMARINE-1399
> Project: Apache Submarine
> Issue Type: Wish
> Components: Build
> Reporter: cdmikechen
> Priority: Major
>
> According to nvidia's policy, CUDA image container tags have a lifetime. The
> tags will be deleted Six Months after the last supported "Tesla Recommended
> Driver" has gone end-of-life OR a newer update release has been made for the
> same CUDA version.
> [https://gitlab.com/nvidia/container-images/cuda/-/blob/master/doc/support-policy.md]
>
> Therefore, we should plan for the tag of the cuda image, and update the new
> cuda once for each release of the submarine.
>
> * 0.8.0: cuda 11.0.3
> * 0.8.1: cuda 11.1.1
> * 0.9.0: cuda 12.2.0
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