gpt-o3 / triton4c17a1
MLA paged decode h16 ckv512 kpe64 ps1 · num_pages = 989669 · batch_size = 16 · len_indptr = 17 · num_kv_indices = 8057 · bf16 · run 01a02032-5e3e…
●passedReported evidence
Not re-observed recently.
Primary measurement
183.6µsmean
Rank 2 in its comparison group · source-native comparison · observed 2025-10-16
41.50× reference
Identity
implementationgpt-o3_triton_4c17a1
projectgpt-o3
revisionda915083d4c7c5e61aa3005e3d17ae488e0fc71c
workloadnum_pages = 989669 · batch_size = 16 · len_indptr = 17 · num_kv_indices = 8057 · bf16
comparison keysha256:3536204d05a6d744…
sourceFlashInfer-Bench
external idtrace/gpt-o3_triton_4c17a1/57106903-f8b5-491b-8b6c-58e2d77b222e
sha256:bcc0f1c65e94cf2a1ff7d7c…
Correctness
comparatorflashinfer_bench_eval
max absolute error0.0078125
max relative error0.2191253900527954
resultpassed
Workload
num_pages989669
batch_size16
len_indptr17
num_kv_indices8057
q_pebf16 [16, 16, 64]
q_nopebf16 [16, 16, 512]
ckv_cachebf16 [989669, 1, 512]
kpe_cachebf16 [989669, 1, 64]
kv_indptrint32 [17]
kv_indicesint32 [8057]
definition comparatorsol_execbench_eval
Measurements
latency · mean183.6 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
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Replications and notes
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Community attestations. They never change the evidence level; only a KernelIndex-controlled rerun does.
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{
"run": {
"kind": "BenchmarkRun",
"spec": {
"status": "passed",
"timing": {
"latencyNs": {
"mean": 183572
},
"primaryStatistic": "mean"
},
"observedAt": "2025-10-16T11:05:33.789Z",
"correctness": {
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"maximumAbsoluteError": 0.0078125,
"maximumRelativeError": 0.2191253900527954
},
"sourceNative": {
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"metrics": {
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"speedup_factor": 41.501285164754066,
"reference_latency_ms": 7.61848889456855
},
"benchmark": "mla_paged_decode_h16_ckv512_kpe64_ps1"
},
"protocolDigest": "sha256:7d44d206ad086b4bece35ce31f6531ebb11f07e0d9dcfb74c75be86d3ec02095",
"workloadDigest": "sha256:8ffa24fc8b82ad716ec940dfcf5580b4e8f89fc2fa74cea89cb9b08d1b8bd35b",
"environmentDigest": "sha256:f4292a8be127b7230cd3995c1d605fb6c644e2c2f94566e1d28cc1be766ca5d5",
"implementationDigest": "sha256:3da822530f4925b23d07b281c971e733bdc1067be986982bc2e1bdbdbd7a38f0"
},
"metadata": {
"name": "sol-trace-mla-paged-decode-h16-ckv512-kpe64-ps1-57106903",
"title": "gpt-o3_triton_4c17a1 · mla_paged_decode_h16_ckv512_kpe64_ps1"
},
"apiVersion": "kernelindex.dev/v1alpha1"
},
"protocol": {
"kind": "BenchmarkProtocol",
"spec": {
"harness": {
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},
"correctness": {
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"comparator": "flashinfer_bench_eval"
},
"measurement": {
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"primaryStatistic": "mean"
},
"comparability": {
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}
},
"metadata": {
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"title": "FlashInfer-Bench trace harness"
},
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"environment": {
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"spec": {
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},
"software": {
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},
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"title": "NVIDIA B200 (trace-reported software)"
},
"apiVersion": "kernelindex.dev/v1alpha1"
}
}Cite this record (permalink, digest, access date)
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Published 2026-08-20 · FlashInfer-Bench · Apache-2.0All results for MLA paged decode h16 ckv512 kpe64 ps1 →JSON