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.
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.
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.
Source: Luma · x.comPublished · added here