PyTorch
RMSNorm, Megatron layout · seq = 4096 · batch = 1 · hidden = 2048 · bf16 · run 01a0202b-2412…
●passedReported evidence
Primary measurement
108.6µsmedian
Rank 2 in its comparison group · source-native comparison · observed 2026-06-10
ms 20 0.10764160007238388 · ms 50 0.10864000022411346 · ms 80 0.1096000000834465
Identity
implementationPyTorch
projectPyTorch
revisionunknown
workloadseq = 4096 · batch = 1 · hidden = 2048 · bf16
comparison keysha256:481d22088555d750…
sourceLiger-Kernel benchmarks
external idmegatron_rms_norm/full/torch/nvidia-h100-80gb-hbm3/batch1-hidden2048-seq4096-bf16/2026-06-10-21-03-42
sha256:14b531af1843294a00a470d…
Correctness
Marked passed by the source; the correctness policy was not published.
Workload
seq4096
batch1
hidden2048
xbf16 [4096, 1, 2048]
weightbf16 [2048]
definition comparatornot_asserted
Measurements
latency · median108.6 µs
latency · p20107.6 µs
latency · p80109.6 µs
Protocol
harnessLiger-Kernel benchmark scripts
timercuda_events
primaryStatisticmedian
comparabilityFamilyliger_kernel_bench
Environment
gpuNVIDIA H100 (sm_90)
Artifacts
No artifacts published with this run.
Replications and notes
No attestations yet.
Community attestations. They never change the evidence level; only a KernelIndex-controlled rerun does.
Add a reproduction or note
Canonical manifest
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{
"run": {
"kind": "BenchmarkRun",
"spec": {
"status": "passed",
"timing": {
"latencyNs": {
"median": 108640
},
"primaryStatistic": "median"
},
"observedAt": "2026-06-10T21:03:42.000Z",
"measurements": [
{
"unit": "ns",
"value": 107642,
"metric": "latency",
"statistic": "p20"
},
{
"unit": "ns",
"value": 109600,
"metric": "latency",
"statistic": "p80"
}
],
"sourceNative": {
"source": "liger-kernel-bench",
"metrics": {
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"ms_50": 0.10864000022411346,
"ms_80": 0.1096000000834465
},
"benchmark": "megatron_rms_norm/full",
"externalId": "megatron_rms_norm/full/torch/nvidia-h100-80gb-hbm3/batch1-hidden2048-seq4096-bf16/2026-06-10-21-03-42"
},
"protocolDigest": "sha256:5b02ee9a2140fbc6fcc1c89800f6c177ba22718c8897cb532bf0ba91867c1e58",
"workloadDigest": "sha256:481da01308ddcbcebf430c4a9e48595807122dd48ccf5086ff173d0ad0e0fe95",
"environmentDigest": "sha256:2750ae381d6de582f1eb6b9008e0987463d19ede8af127d97d76c5ae09121393",
"implementationDigest": "sha256:07486a893d05b3338eb1876548053826c12ab08c8afa12bcc829975f75e540c2"
},
"metadata": {
"name": "liger-megatron-rms-norm-full-torch-nvidia-h100-80gb-hbm3-batch1-hidden2048-seq4096-bf16-2026-06-10-2",
"title": "RMSNorm, Megatron layout · torch · full",
"labels": {
"liger_version": "0.8.0"
}
},
"apiVersion": "kernelindex.dev/v1alpha1"
},
"protocol": {
"kind": "BenchmarkProtocol",
"spec": {
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"repository": "https://github.com/linkedin/Liger-Kernel"
},
"measurement": {
"timer": "cuda_events",
"primaryStatistic": "median"
},
"comparability": {
"notes": "Timed: the forward pass plus the backward 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.",
"family": "liger_kernel_bench"
}
},
"metadata": {
"name": "liger-bench-do-bench-full",
"title": "Liger benchmark harness · full pass"
},
"apiVersion": "kernelindex.dev/v1alpha1"
},
"environment": {
"kind": "ExecutionEnvironment",
"spec": {
"hardware": {
"vendor": "nvidia",
"product": "NVIDIA H100",
"formFactor": "80GB HBM3",
"architecture": "sm_90"
},
"software": {}
},
"metadata": {
"name": "liger-bench-nvidia-h100-80gb-hbm3",
"title": "Liger benchmark host · H100 80GB HBM3"
},
"apiVersion": "kernelindex.dev/v1alpha1"
}
}Cite this record (permalink, digest, access date)
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Published 2026-08-20 · Liger-Kernel benchmarks · BSD-2-ClauseAll results for RMSNorm, Megatron layout →JSON