Description
PyTorch models can be trained and used across multi-GPU, TPU, and mixed-precision setups with simpler orchestration. This library is for machine-learning developers scaling experiments across hardware. It can drive expensive compute jobs, so dataset paths, credentials, and resource limits should be configured carefully.