I found some benchmarks between GPU and CPU Spark-based systems that are not performed in the same hardware. Is this faire since a powerful CPU server could eventually outperforms a GPU server?
For example,
Here, the performance comparison is done in different hardware, AWS p3.2xlarge (Tesla V100) and AWS r4.2xlarge https://youtu.be/tGqEZYUqexY?t=44
Here, the performance comparison is done in different hardware, Tesla V100 SXM2 and AWS m5.8xlarge https://nlp.johnsnowlabs.com/docs/en/CPUvsGPUbenchmark
Other question, Is it not more fair, to compare Spark performance in the same hardware? Because Spark can run on GPUs Tesla V100 in both modes (pure CPU or with GPU acceleration).
Thanks,