raulcd commented on issue #49437: URL: https://github.com/apache/arrow/issues/49437#issuecomment-5352794920
> I think it may be worth dropping CUDA 11.x coverage and focusing on CUDA 12.x and 13.x instead You mean for the Python CUDA jobs? Sounds reasonable to me. For the C++ packages we are still shipping some libarrow-cuda packages for some distros, i.e ubuntu-jammy, which use CUDA 11. As per the fix, when I did some initial investigation I saw the API had several changes so a wrapper here sounds reasonable to me. Thanks for taking a look at this @contentis -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected]
