Skip to content
KernelIndex
Search⌘K

gpt-o3 / cuda025ec1

GQA ragged prefill causal h32 kv8 d128 · total_q = 71 · total_kv = 71 · len_indptr = 2 · bf16 · run 01a02032-5e3a…
●passedReproduction-ready evidence

Not re-observed recently.

Primary measurement
369.1µsmean

Rank 7 in its comparison group · source-native comparison · observed 2025-10-19

Compare with #1 →

0.97× reference

Identity
implementationgpt-o3_cuda_025ec1
projectgpt-o3
revisionda915083d4c7c5e61aa3005e3d17ae488e0fc71c
workloadtotal_q = 71 · total_kv = 71 · len_indptr = 2 · bf16
comparison keysha256:590fd51d07049722…
sourceFlashInfer-Bench
external idtrace/gpt-o3_cuda_025ec1/012bb8e4-3c30-414f-ab5e-8d63cbbce70f
sha256:fdb0df832a59358c10c31fa…

Correctness

comparatorflashinfer_bench_eval
max absolute error0.00390625
max relative error0.1351708620786667
resultpassed

Workload

total_q71
total_kv71
len_indptr2
kbf16 [71, 8, 128]
qbf16 [71, 32, 128]
vbf16 [71, 8, 128]
kv_indptrint32 [2]
qo_indptrint32 [2]
definition comparatorsol_execbench_eval

Measurements

latency · mean369.1 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

logssha256:836fc8561218a205… · text/plain · unavailable

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
I

Published under your account name. Community attestations never change the evidence level; a maintainer can hide abuse.

Canonical manifest

Show manifest
{
  "run": {
    "kind": "BenchmarkRun",
    "spec": {
      "status": "passed",
      "timing": {
        "latencyNs": {
          "mean": 369140
        },
        "primaryStatistic": "mean"
      },
      "evidence": {
        "logs": {
          "uri": "kernelindex:artifact/sha256:836fc8561218a20568224e75de7b521d0789f270ef29b76dbbd9cc24cbad3838",
          "digest": "sha256:836fc8561218a20568224e75de7b521d0789f270ef29b76dbbd9cc24cbad3838"
        }
      },
      "observedAt": "2025-10-19T23:02:53.371Z",
      "correctness": {
        "comparator": "sol_execbench_eval",
        "maximumAbsoluteError": 0.00390625,
        "maximumRelativeError": 0.1351708620786667
      },
      "sourceNative": {
        "source": "flashinfer-bench",
        "metrics": {
          "latency_ms": 0.36914027540446925,
          "speedup_factor": 0.9711990759702359,
          "reference_latency_ms": 0.35850869437621896
        },
        "benchmark": "gqa_ragged_prefill_causal_h32_kv8_d128"
      },
      "protocolDigest": "sha256:7d44d206ad086b4bece35ce31f6531ebb11f07e0d9dcfb74c75be86d3ec02095",
      "workloadDigest": "sha256:5ba4585f82c4ae74de38118bfc37dad8d3a3a43e3472fe618ecaa950a8bf6265",
      "environmentDigest": "sha256:f4292a8be127b7230cd3995c1d605fb6c644e2c2f94566e1d28cc1be766ca5d5",
      "implementationDigest": "sha256:5acecad48c17870791beedfc3d3b0d9a71ca6932288f1c391313a146bb02752d"
    },
    "metadata": {
      "name": "sol-trace-gqa-ragged-prefill-causal-h32-kv8-d128-012bb8e4",
      "title": "gpt-o3_cuda_025ec1 · gqa_ragged_prefill_causal_h32_kv8_d128"
    },
    "apiVersion": "kernelindex.dev/v1alpha1"
  },
  "protocol": {
    "kind": "BenchmarkProtocol",
    "spec": {
      "harness": {
        "name": "flashinfer-bench",
        "repository": "https://github.com/flashinfer-ai/flashinfer-bench"
      },
      "correctness": {
        "reference": "definition reference implementation",
        "comparator": "flashinfer_bench_eval"
      },
      "measurement": {
        "timer": "harness_reported",
        "primaryStatistic": "mean"
      },
      "comparability": {
        "family": "flashinfer_bench_trace"
      }
    },
    "metadata": {
      "name": "flashinfer-bench-trace",
      "title": "FlashInfer-Bench trace harness"
    },
    "apiVersion": "kernelindex.dev/v1alpha1"
  },
  "environment": {
    "kind": "ExecutionEnvironment",
    "spec": {
      "hardware": {
        "vendor": "nvidia",
        "product": "NVIDIA B200",
        "architecture": "unknown"
      },
      "software": {
        "framework": {
          "name": "pytorch",
          "version": "2.8.0+cu128"
        },
        "libraries": {
          "triton": "3.4.0"
        },
        "cudaToolkit": "12.8"
      }
    },
    "metadata": {
      "name": "sol-trace-nvidia-b200-2-8-0-cu128-3-4-0-12-8",
      "title": "NVIDIA B200 (trace-reported software)"
    },
    "apiVersion": "kernelindex.dev/v1alpha1"
  }
}
Cite this record (permalink, digest, access date)
Report an issue with this run

A maintainer reviews every report. If accepted, the record is retracted or superseded; its history stays visible.