3 ms·

You're doing inference, not training. https://lambdalabs.com/gpu-benchmarks https://lambdalabs.com/gpu-benchmarks

• jonathanlei 3y ago
  Hmm I did include a training workload as the second chart. My test workload was relatively small so I guess if the workload I ran spends a bit less GPU time comparatively to the CPU, given equal CPU for all workloads, would be an equalizing factor. But even looking at the Lambda Labs benchmarks, I am surprised that the H100 PCIE barely outperforms the A100 SXM, for example. And it is meant to be a replacement for the A100 PCIE. 20% generational improvement yes, but I would have expected more?
  • zer00eyz 3y ago
    >> My test workload was relatively small This is the game changer. More memory and more interconnect speed = better >> H100 PCIE barely outperforms the A100 SXM This is the better interconnect... its only useful if your using it. IF you can fit your workload in the 80gb of the H100 then the SXM becomes far less useful.
• utopcell 3y ago
  Interesting summarization. For throughput/watt, nothing beats A100 40GB PCIe cards. In terms of throughput/$, 4090 cards are >8X better than the best H100.