clm_1d5c85f14cba47f38b1a3d32f9004d7a_r1

VR2-0631

① SA Source

• Source: 開啟完整 SA 文章
• Section: Connecting GPUs in the Scale-Out InfiniBand Network
• Line hint: 759

Context Before

Source: SemiAnalysis AI Networking Model ↗

Evidence

As such, larger network clusters can be built with two 800G logical ports than if only one 1.6T logical port were used

Context After

2(k2)L

Illustratively, consider two hypothetical VR NVL deployments with 1.6T and 800G logical ports respectively. A 1-plane, 3-layer network with one 1.6T logical ports achieves only a maximum cluster size of 93,312 GPUs, or:

② Atomic Claim

因此，相較只使用一個 1.6T logical port，兩個 800G logical ports 可建立更大型 network cluster。

• Epistemic Mode: ASSERTED
• Mapping Status: COMPLETE

③ Semantic Frame

{
  "comparison_expression": "因此，相較只使用一個 1.6T logical port，兩個 800G logical ports 可建立更大型 network cluster。",
  "entities": [
    {
      "id": "04_knowledge_base/1.6T",
      "label": "1.6T"
    },
    {
      "id": "04_knowledge_base/800G",
      "label": "800G"
    }
  ],
  "frame_type": "COMPARISON",
  "metric": "PORT_COUNT",
  "operator": "COMPARES_WITH",
  "qualifiers": {
    "condition_text": null,
    "numeric_mentions": [
      "1.6",
      "800"
    ],
    "temporal_mentions": []
  }
}

④ Canonical Entity Mapping

Role	Surface Label	Canonical Target
comparison_entity_0	1.6T	1.6T
comparison_entity_1	800G	800G

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。