Your data are inconsistent with the benchmarks that I mention in the blog post: https://github.com/u39kun/deep-learning-benchmark https://github.com/u39kun/deep

Your data are inconsistent with the benchmarks that I mention in the blog post: https://github.com/u39kun/deep-learning-benchmark https://github.com/u39kun/deep-learning-benchmark You also do not benchmark LSTMs: https://www.xcelerit.com/computing-benchmarks/insights/benchmarks-deep-learning-nvidia-p100-vs-v100-gpu/ https://www.xcelerit.com/computing-benchmarks/insights/bench... If you put both of those benchmarks together my conclusion is quite reasonable. But I see that you could also come to your conclusion with your benchmarks. It is just a question which benchmarks are less biased and that is too difficult to evaluate. I guess we have to wait for real data, but thanks for putting your data out there to get a discussion going.