Anatoly Myachev

> @anmyachev thanks for the explanation. What about the memory usage with Ray clusters, Modin doesn't seem to utilize both of the memories when doing the `dot` operation on dataframes,...

> @anmyachev Happy new year! Just to check-in, any updates on this Issue? @SiRumCz Happy new year! :) Unfortunately, there are no updates at the moment. I would like to...

@SiRumCz could you run the following code and show output here? ```python import modin.pandas as pd import numpy as np n_features = 20000 n_samples = 20000 features = [f'f{i+1}' for...

@SiRumCz it would be great if you could also provide the following information: 1. Ray client logs can be found at `/tmp/ray/session_latest/logs` on the head node (by default). Please show...

@modin-project/modin-ray maybe you can tell us which direction to look in order to understand the reason for this segfault?

> @anmyachev I can make it to work by not setting an RAY_ADDRESS, Modin/Ray seems to be able to pick up the address when I am running the client code...

> the memory usage on my nodes seems to be very high during the dataframe operation, there are moments that almost all the memory space are being filled with all...

> @anmyachev I can make it to work by not setting an RAY_ADDRESS, Modin/Ray seems to be able to pick up the address when I am running the client code...

@anmyachev I mean this general note: ```bash Ray Client has architectural limitations and may not work as expected when using Ray for ML workloads (like Ray Tune or Ray Train)....

> The problem seems to be from a package grpc, upon checking my system, although the grpcio python package is the same version for both Ray nodes, they do have...