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"MiniMax Sparse Attention" This paper from Minimax adds a tiny Index Branch to GQA that picks top k KV blocks per group, then runs exact softmax only on those blocks, making sparsity GPU native, with exp free TopK and KV outer sparse kernels. On a 109B multimodal MoE, it keeps dense GQA quality while cutting 1M context attention compute by 28.4x, with 14.2x prefill and 7.6x decode speedups.
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