{
  "id": 9611727,
  "title": "How Fast Can a 421M-Parameter Decision Model Run? I Benchmarked Laya Across NVIDIA GPUs",
  "url": "https://urgent.news/2026/09/24/how-fast-can-a-421m-parameter-decision-model-run-i-benchmarked-laya",
  "topic": "ai",
  "section": "AI",
  "published": "2026-09-24T19:15:49.000Z",
  "source": {
    "name": "Dev.to",
    "slug": "dev-to",
    "url": "https://dev.to/cookies_c9dc8b91f33d29250/how-fast-can-a-421m-parameter-decision-model-run-i-benchmarked-laya-across-nvidia-gpus-2863"
  },
  "original_language": "en",
  "account": null,
  "summary": "One H100 NVL. A 421M-parameter decision model. 15.1 million decisions per day while staying inside a p99 ≤ 130 ms latency budget. That number sounds impressive—but raw throughput is the easy number to publish. The useful question is harder: How many typed decisions can one GPU sustain when tail latency, correctness, and cost all matter? I built an independent, fully reproducible benchmark to…",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}