VR2R-0596_r1

VR2R-0596

① SA Source

• Source: 開啟完整 SA 文章
• Section: Connecting GPUs in the Scale-Out InfiniBand Network
• Line hint: 498

Context Before

Illustratively, consider two hypothetical VR NVL deployments with 1.6T and 800G logical ports respectively.

Evidence

A 1-plane, 3-layer network with one 1.6T logical port achieves only a maximum cluster size of 93,312 GPUs:

Context After

(2\left(\frac{\frac{115{,}200}{1{,}600}}{2}\right)^3 = 2\left(\frac{72}{2}\right)^3 = 93,312)

② Atomic Claim

1-plane、3-layer network 若使用單一 1.6T logical port，maximum cluster size 僅為 93,312 顆 GPUs。

• Epistemic Mode: ASSERTED
• Mapping Status: PARTIAL

③ Semantic Frame

{
  "attribute": "MAX_CLUSTER_SIZE_UNDER_1P_3L_1_6T_TOPOLOGY",
  "context_nodes": [],
  "entity": {
    "id": "04_knowledge_base/GPU",
    "label": "GPU"
  },
  "frame_type": "ATTRIBUTE",
  "qualifiers": {
    "condition_text": "illustrative network topology",
    "numeric_mentions": [
      "1-plane",
      "3-layer",
      "1.6T",
      "93,312"
    ],
    "temporal_mentions": []
  },
  "value": {
    "numeric_mentions": [
      "1-plane",
      "3-layer",
      "1.6T",
      "93,312"
    ],
    "value_text": "maximum cluster size is 93,312 GPUs."
  }
}

④ Canonical Entity Mapping

Role	Surface Label	Canonical Target
entity	GPU	GPU

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。