gpt-o3 / cuda025ec1
GQA ragged prefill causal h32 kv8 d128 · total_q = 18 · total_kv = 18 · len_indptr = 2 · bf16 · run 01a02032-5e39…
●passedReproduction-ready evidence
Not re-observed recently.
Primary measurement
96.9µsmean
Rank 5 in its comparison group · source-native comparison · observed 2025-10-19
3.86× reference
Identity
implementationgpt-o3_cuda_025ec1
projectgpt-o3
revisionda915083d4c7c5e61aa3005e3d17ae488e0fc71c
workloadtotal_q = 18 · total_kv = 18 · len_indptr = 2 · bf16
comparison keysha256:ac7ab26a87798d40…
sourceFlashInfer-Bench
external idtrace/gpt-o3_cuda_025ec1/568a6016-6234-4700-ae5e-061593e16640
sha256:7267b0e6cb7d3afaaf053db…
Correctness
comparatorflashinfer_bench_eval
max absolute error0.0009765625
max relative error0.023903118446469307
resultpassed
Workload
total_q18
total_kv18
len_indptr2
kbf16 [18, 8, 128]
qbf16 [18, 32, 128]
vbf16 [18, 8, 128]
kv_indptrint32 [2]
qo_indptrint32 [2]
definition comparatorsol_execbench_eval
Measurements
latency · mean96.9 µs
Protocol
harnessflashinfer-bench
timerharness_reported
primaryStatisticmean
correctnessReferencedefinition reference implementation
comparabilityFamilyflashinfer_bench_trace
Environment
gpuNVIDIA B200 (unknown)
cudaToolkit12.8
frameworkpytorch 2.8.0+cu128
Artifacts
logssha256:1411162689502ae2… · text/plain · unavailable
Replications and notes
No attestations yet.
Community attestations. They never change the evidence level; only a KernelIndex-controlled rerun does.
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Canonical manifest
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"run": {
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"timing": {
"latencyNs": {
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}Cite this record (permalink, digest, access date)
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Published 2026-08-20 · FlashInfer-Bench · Apache-2.0All results for GQA ragged prefill causal h32 kv8 d128 →JSON