In r/LocalLLaMA, inference performance work is converging on FlashAttention-4 as attention approaches matmul speed, with concrete throughput numbers and immediate integration into vLLM for B200 deployments.
FlashAttention-4: 1613 TFLOPs/s, 2.7x faster than Triton, written in Python.
BF16 forward: 1,613 TFLOPs/s on B200 (71% utilization). Attention is basically at matmul speed now.
vLLM 0.17.0 (released March 7) integrates FA-4.
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