PyTorch distributed is changing and TorchComms is why

PyTorch is transitioning from the old c10d backend to a new system called TorchComms, designed to meet the demands of modern LLM training and inference. TorchComms simplifies the communication layer, allowing more extensible and efficient training setups, while maintaining compatibility with existing code structures. Performance gains in initialization and inference are significant for large systems, indicating the importance of this transition.