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The comparison is a little pears to apple. Similar nutritions but different enough to not draw conclusions. The hardware in the Ceph test is only capable of max 1.7TiB/s traffic (optimally without any overhead whatsoever).

I also assume that the batch size (block size) is different enough that this alone would make a big difference.



Even if we take different hardware into account we can readjust for measured vs theoretical throughput.

Ceph cluster achieves 1 TiB/s / 1.7 TiB/s = 0.58% of theoretical throughput.

3FS cluster achieves 6.6 TiB/s / 9 TiB/s = 0.73% of theoretical throughput.


That difference is still pronounced, yes. But the workload is so different. Training AI is hardly random read. Still not a comparison which should lead you to any conclusions.




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