zlacker

>>redbel+(OP)
Python is slow for ML. People will take time to realize it. The claim that most of the work is done in GPU -- covers only a small fraction of cases.

For example, in NLP a huge amount of pre and post processing of data is needed outside of the GPU.

>>habibu+Y5
> For example, in NLP a huge amount of pre and post processing of data is needed outside of the GPU.

it depends on your task, if you have large language model, bottleneck likely be in ML part. It could be pre/post-processing if model is shallow.