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Luma details exact sequence parallelism for packed multimodal masks

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Luma says its sequence parallelism method selects ring attention or a sparse all-to-all per layer and matches single-GPU numerics. The company reports it beat a FlashMask plus Ulysses hybrid in 47 of 48 cases on up to 128 H100 GPUs.

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Exact sequence parallelism for packed multimodal masks.

It picks ring attention, a sparse all-to-all or Ulysses per layer, matches single-GPU numerics, and beats a FlashMask + Ulysses hybrid in 47 of 48 cases on up to 128 H100s.

https://lumalabs.ai/news/packed-multimodal-attention

Source: Luma · x.comPublished · added here