You're welcome! My machine learning team members that I am maintaining oVirt for tend to load training data is large sequential batches, which means bandwidth is nice to have. While I give them local SSD storage on the compute nodes, I also give them lots of HDD/VDO based gluster file space, which might do miserably on OLTP, but pipes out sequential data at rates at least similar to SATA SSDs with a 10Gbit network. Seems to work for them, because to CUDA applications even RAM is barely faster the block storage.
PCIe 4.0 NVMe at 8GB/s per device becomes a challenge to any block storage abstraction, inside or outside a VM. And when we are talking about NVMe storage with "native" KV APIs like FusionIO did back then, PCI pass-through will be a necessity, unless somebody comes up with a new hardware abstraction layer. _______________________________________________ Users mailing list -- users@ovirt.org To unsubscribe send an email to users-le...@ovirt.org Privacy Statement: https://www.ovirt.org/privacy-policy.html oVirt Code of Conduct: https://www.ovirt.org/community/about/community-guidelines/ List Archives: https://lists.ovirt.org/archives/list/users@ovirt.org/message/JTVITH24IOZXOJLQAW6UCQAYHTZWAYUI/
