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  1. J

    Single-root vs dual-root complex and E5 vs SP for multi-GPU deep learning

    I found an answer for the RTX 2080 Ti cards: GeForce Turing cards such the RTX 2080 Ti or the Titan RTX do not support peer-to-peer communication (except through NVLink, and even then only by pair), so there's no real reason to fixate on single vs dual root complex for them, and thus no reason...
  2. J

    Single-root vs dual-root complex and E5 vs SP for multi-GPU deep learning

    Bumping this up. Maybe I should have simplified my question: - For an 8 or 10 GPU Quadro RTX 6000 system, which is best between E5 and Cascade Lake SP in a system like SuperMicro's SYS-4029GP? - Does the answer change with RTX 2080 Ti?
  3. J

    Single-root vs dual-root complex and E5 vs SP for multi-GPU deep learning

    We're looking to purchase two 4U nodes, one with 8 or 10 RTX 2080 Ti GPUs and the other with 8 or 10 Quadro RTX 6000 GPUs for deep learning, and I'm having trouble figuring out which architecture to go with. We're debating between single-root and dual-root complex systems, and between E5 and...