IX2-0262

① SA Source

  • Source: 開啟完整 SA 文章
  • Section: Nvidia Blackwell Perf TCO Analysis - B100 vs B200 vs GB200NVL72
  • Line hint: 440

Context Before

image

Source: SemiAnalysis InferenceX

Evidence

Admittedly the GB300 NVL72 has a higher all-in cost per GPU, but this only reduces the bandwidth per TCO advantage to being 8x faster

Context After

image

Source: SemiAnalysis InferenceX

② Atomic Claim

雖然 GB300 NVL72 每顆 GPU 的 all-in cost 較高,但折算成 bandwidth per TCO 後,仍有約 8 倍速度優勢。

  • Epistemic Mode: ASSERTED
  • Mapping Status: COMPLETE

③ Semantic Frame

{
  "comparison_expression": "雖然 GB300 NVL72 每顆 GPU 的 all-in cost 較高,但折算成 bandwidth per TCO 後,仍有約 8 倍速度優勢。",
  "entities": [
    {
      "id": "04_knowledge_base/GB300 NVL72",
      "label": "GB300 NVL72"
    },
    {
      "id": "04_knowledge_base/GPU",
      "label": "GPU"
    }
  ],
  "frame_type": "COMPARISON",
  "metric": "BANDWIDTH",
  "operator": "MULTIPLE_OF",
  "qualifiers": {
    "condition_text": null,
    "numeric_mentions": [
      "8"
    ],
    "temporal_mentions": []
  }
}

④ Canonical Entity Mapping

RoleSurface LabelCanonical Target
comparison_entity_0GB300 NVL7204_knowledge_base/GB300 NVL72
comparison_entity_1GPUGPU

⑤ Human Review

請在 Properties 逐項確認:

  • 原文 → Atomic Claim 是否忠實
  • Atomic Claim → Semantic Frame 是否忠實
  • Canonical Entity mapping 是否正確
  • Epistemic mode 是否保留原文語氣
  • 最後選擇 review_action

Review state

Markdown 內文不是正式 approval。只有 Apply bridge 寫入的 Decision Ledger event 才是正式決策。