Depends what you do the analysis with. The state of the art is a neural network, and the best there are transformers which do parallelize (as opposed to the pre

Depends what you do the analysis with. The state of the art is a neural network, and the best there are transformers which do parallelize (as opposed to the previous generation, LSTMs which don't parallelize as well) The limiting factor is usually parallelism, to utilize a GPU well you need to be running something on the order of 10000 threads in parallel.