clm_22b8e701b29f4b33958b22dfbdb35447_r1

IX2-0255

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

Even when factoring in the increased total cost of ownership of Blackwell and Blackwell Ultra, we see a 9.7x(40 tok/s/user) up to 65x(116 tok/s/user) improvement in tokens per dollar compared to Hopper

Context After

Source: SemiAnalysis InferenceX ↗

② Atomic Claim

即使把 Blackwell 與 Blackwell Ultra 較高的 TCO 納入考量，相較 Hopper，tokens per dollar 仍改善約 9.7 倍（40 tok/s/user）到 65 倍（116 tok/s/user）。

• Epistemic Mode: ASSERTED
• Mapping Status: COMPLETE

③ Semantic Frame

{
  "comparison_expression": "即使把 Blackwell 與 Blackwell Ultra 較高的 TCO 納入考量，相較 Hopper，tokens per dollar 仍改善約 9.7 倍（40 tok/s/user）到 65 倍（116 tok/s/user）。",
  "entities": [
    {
      "id": "04_knowledge_base/Blackwell",
      "label": "Blackwell"
    },
    {
      "id": "04_knowledge_base/Hopper",
      "label": "Hopper"
    }
  ],
  "frame_type": "COMPARISON",
  "metric": "THROUGHPUT",
  "operator": "MULTIPLE_OF",
  "qualifiers": {
    "condition_text": null,
    "numeric_mentions": [
      "9.7",
      "40 tok/s/user",
      "65",
      "116 tok/s/user"
    ],
    "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。