clm_558f6b1a91aa495d958e440d9dbcc3c6_r1

IX2-0257

① SA Source

• Source: 開啟完整 SA 文章
• Section: Nvidia Blackwell Perf TCO Analysis - B100 vs B200 vs GB200NVL72
• Line hint: 424

Context Before

Source: SemiAnalysis InferenceX ↗

Evidence

Blackwell performance is so good compared to Hopper that we needed to an log scale to our dashboard in order to visualize it

Context After

Source: SemiAnalysis InferenceX ↗

② Atomic Claim

Blackwell 相較 Hopper 的效能差距大到 InferenceX dashboard 必須加入 log scale 才方便視覺化。

• Epistemic Mode: ASSERTED
• Mapping Status: PARTIAL

③ Semantic Frame

{
  "comparison_expression": "Blackwell 相較 Hopper 的效能差距大到 InferenceX dashboard 必須加入 log scale 才方便視覺化。",
  "entities": [
    {
      "id": "04_knowledge_base/Blackwell",
      "label": "Blackwell"
    },
    {
      "id": "04_knowledge_base/Hopper",
      "label": "Hopper"
    }
  ],
  "frame_type": "COMPARISON",
  "metric": "COMPUTE_PERFORMANCE",
  "operator": "COMPARES_WITH",
  "qualifiers": {
    "condition_text": null,
    "numeric_mentions": [],
    "temporal_mentions": []
  }
}

④ Canonical Entity Mapping

Role	Surface Label	Canonical Target
comparison_entity_0	Blackwell	Blackwell
comparison_entity_1	Hopper	Hopper

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。