Ideas for reducing RAM?

[kyu-sz]

My training pipeline is tightly bounded by RAM capacity rather than GPU memory capacity. I have a Unitree G1 robot, a table and an object in each environment. I can only run around 512x8 = 4096 environments on an instance which has 1TB RAM. Just wondering if there are any ideas or practices which can reduce RAM usage so that more environments can be launched together.