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https://issues.apache.org/jira/browse/HDDS-15353?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=18090824#comment-18090824
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Ivan Andika edited comment on HDDS-15353 at 6/23/26 8:14 AM:
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See [https://hibd.cse.ohio-state.edu/] for the RDMA on Hadoop projects (Hadoop,
HBASE, etc)
We can technically download the binary in
[https://hibd.cse.ohio-state.edu/download/hibd/rdma-hadoop-3.x-0.9.1-x86-bin.tar.gz]
and decompile the Java, but not sure whether this would violate Apache policy.
was (Author: JIRAUSER298977):
See [https://hibd.cse.ohio-state.edu/] for the RDMA on Hadoop projects (Hadoop,
HBASE, etc)
> Support GPUDirectStorage
> ------------------------
>
> Key: HDDS-15353
> URL: https://issues.apache.org/jira/browse/HDDS-15353
> Project: Apache Ozone
> Issue Type: New Feature
> Reporter: Ivan Andika
> Assignee: Ivan Andika
> Priority: Major
>
> Support GPUDirectStorage (https://docs.nvidia.com/gpudirect-storage/) by
> implementing the CuObject and CuFile APIs. This requires RDMA so it might be
> very far in the future (i.e. we need might need to use or write a library
> using RDMA). There is also
> https://blogs.nvidia.com/blog/s3-compatible-ai-storage/ that implements RDMA
> on top of S3-compatible storage.
> See GDS implementation on 3FS (https://github.com/deepseek-ai/3FS/pull/407)
> and SeaweedFS RDMA on Rust (https://github.com/seaweedfs/seaweedfs/pull/7140)
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