PyTorch defaults to using Pickle for tensor storage, which poses security risks as malicious pickle files can execute arbitrary code upon unpickling. In contrast, safetensors specialize in securely storing tensors, guaranteeing data integrity during storage and retrieval.
safetensors also uses zero-copy operations, eliminating the need to copy data into new memory locations, thereby enabling fast and efficient data handling.
