PyTorch

{
  "run": {
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      "timing": {
        "latencyNs": {
          "median": 432864
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      "sourceNative": {
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        "benchmark": "megatron_swiglu/forward",
        "externalId": "megatron_swiglu/forward/megatron/nvidia-h100-80gb-hbm3/batch4-ffn16384-seq2048-bf16/2026-07-26-00-09-48"
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      "name": "liger-megatron-swiglu-forward-megatron-nvidia-h100-80gb-hbm3-batch4-ffn16384-seq2048-bf16-2026-07-26",
      "title": "SwiGLU activation, Megatron layout · megatron · forward",
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    },
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        "notes": "Timed: the module forward pass, via triton.testing.do_bench with quantiles 0.5/0.2/0.8 (median with p20/p80 spread). The upstream CSV records no CUDA, driver, or torch version; the Liger release rides each run's labels. Comparable only within one kernel, workload, timed pass, and GPU.",
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      "title": "Liger benchmark host · H100 80GB HBM3"
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}