Datasets:
The-Hidden-Canopy
/
three-gpu-optimization-receipts

Dataset card Data Studio Files
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 Community
1
receipt_id
string
publisher
string
date_utc
timestamp[s]
evidence_class
string
hardware
dict
workload
dict
stages
list
throughput_comparison
dict
projected_same_shape_wall_time_ratios
dict
interpretation
string
limitations
list
provenance
dict
THC-RTX4050-OMNI-20260913
The Hidden Canopy
2026-09-13T00:00:00
curated public summary of published project benchmark JSON
{ "manufacturer": "NVIDIA", "device": "GeForce RTX 4050 Laptop GPU", "architecture": "Ada", "vram_gib_reported": 6.14 }
{ "description": "Omni reasoner native training, same 300-packet GA=1 workload shape", "packets": 300, "gradient_accumulation": 1 }
[ { "name": "initial", "reported_or_estimated_wall_hours": 33, "retained_wall_hours": null, "estimated_seconds_per_packet": null, "estimated_training_seconds": null, "estimated_checkpoint_seconds": null, "estimated_total_wall_seconds_rounded": null }, { "name": "after three kernel ...
{ "initial_tokens_per_second_approximate": 82, "optimized_tokens_per_second_approximate": 1900, "throughput_ratio_approximate": 23.17 }
{ "v2_to_optimized": 22.17, "first_attempt_to_optimized": 172.17 }
The approximately 22x and 170x end-to-end figures are projections from the optimized per-packet measurement and checkpoint estimates, NOT completed stopwatch timings for the full optimized 300-packet run.
[ "The projected current 11.5-minute wall time has not been represented as an observed full-run duration.", "The 33-hour initial estimate and 4.25-hour retained v2 stage must not be described as a head-to-head independent benchmark across different models.", "The speedups refer to this particular training shape o...
{ "public_source": "https://github.com/The-Hidden-Canopy/OMNI-Q_Weird_Stuff_Machine/blob/main/evidence/benchmark_results/omni_reasoner_speed_2026-09-13/results.json", "supporting_internal_report": "The-Hidden-Canopy/IDA-TRAIN-V2 (private) docs/rtx4050-omni-native-training-report-2026-09-10.md" }