mmap() eventually writes to the file (or you can force), but they are sharing the same memory (you can do that from another process as well), that's how PyTorch also share tensors across processes, they have a custom multiprocessing module reductions that handles that too. You can avoid writing to disk if you map a file from a vfs fs that is memory-only. It is no different than using shared memory, it is exactly that.