PyTorch/XLA SPMD: Scale Up Model Training and Serving with Automatic Parallelization

PyTorch/XLA SPMD integrates GSPMD into PyTorch, enabling developers to train and serve large neural networks while maximizing AI accelerators’ utilization. The system automatically parallelizes ML workloads, transforming single device programs into partitioned ones. This allows developers to write PyTorch programs as if they are on a single large device, without any custom sharded computation or collective communication ops to scale models.
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