Zerg AI
Rotary embedding with attention scaling backward · suite of 16 cases · mean latency · run 01a03529-c052…
●passedReported evidence
Primary measurement
6.30µsmean
Rank 7 in its comparison group · source-native comparison · observed 2026-07-07
SOL 0.8858 · 12.03× reference · 14/16 cases faster
Identity
implementationZerg AI
projectZerg AI
revisionsubmission-18336
workloadsuite of 16 cases · mean latency
comparison keysha256:e650657a1f2502fe…
sourceNVIDIA SOL-ExecBench
external idsubmission/18336
sha256:b1ecef13560c73ceb749c28…
Correctness
Marked passed by the source; the correctness policy was not published.
Workload
definition comparatorsol_execbench_eval
descriptionCorrectness must pass on every case in the SOL evaluation stack.
Measurements
latency · mean6.30 µs
Protocol
harnessSOL-ExecBench evaluation stack v1.0
timerharness_reported
primaryStatisticmean
correctnessReferencedefinition reference implementation
comparabilityFamilysol_execbench_leaderboard
Environment
gpuNVIDIA B200 (sm_100)
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.
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}Cite this record (permalink, digest, access date)
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Published 2026-08-24 · NVIDIA SOL-ExecBenchAll results for Rotary embedding with attention scaling backward →JSON