clm_c994dcb26a294906a87d6fb30fcc6cbf_r1

IX2-0147

① SA Source

• Source: 開啟完整 SA 文章
• Section: Nvidia TensorRT LLM and NVL72
• Line hint: 240

Context Before

Source: SemiAnalysis InferenceX

Evidence

At a fixed interactivity level of 60 tok/s/user, each GB200 NVL GPU produces slightly less than triple the number of tokens/s than each B200 does

Context After

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② Atomic Claim

在固定 interactivity 60 tok/s/user 下，每顆 GB200 NVL GPU 產生的 tokens/s 接近 B200 的三倍。

• Epistemic Mode: ASSERTED
• Mapping Status: COMPLETE

③ Semantic Frame

{
  "comparison_expression": "在固定 interactivity 60 tok/s/user 下，每顆 GB200 NVL GPU 產生的 tokens/s 接近 B200 的三倍。",
  "entities": [
    {
      "id": "04_knowledge_base/GB200",
      "label": "GB200"
    },
    {
      "id": "04_knowledge_base/GPU",
      "label": "GPU"
    },
    {
      "id": "04_knowledge_base/NVIDIA B200",
      "label": "B200"
    }
  ],
  "frame_type": "COMPARISON",
  "metric": "THROUGHPUT",
  "operator": "MULTIPLE_OF",
  "qualifiers": {
    "condition_text": null,
    "numeric_mentions": [
      "60 tok/s/user"
    ],
    "temporal_mentions": []
  }
}

④ Canonical Entity Mapping

Role	Surface Label	Canonical Target
comparison_entity_0	GB200	GB200
comparison_entity_1	GPU	GPU
comparison_entity_2	B200	04_knowledge_base/NVIDIA B200

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。