How to adjust the best training efficiency

In the paper, I saw that the number of steps is best kept around 100k or 200k. Is this the most important indicator affecting training efficiency? When training on GPU hardware with different performance, should I change the number of num_envs to keep the number of steps around 100k or 200k, or change other parameters?If anyone knows, I look forward to your reply.