Distributed Training, Model Parallelism, Data Parallelism, Pytorch, Aurorain.
models. For instance, the largest T5 models and GPT-3 employ a model and data combined parallelism. However, all of these should be part of the strategy of the DL modeling framework. On the other side, distribution eventually scales the parallelism out in the cloud or a cluster. Containerization