Tensor parallelism across nodes would all-reduce every activation over the network. Splitting the sequence instead sends only the KV, which for a GQA model is small. The answer sizes that traffic, finds when it hides behind attention, and fixes the causal-mask imbalance that naive splitting creates.
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