VR2-0629

① SA Source

Context Before

image

Source: SemiAnalysis AI Networking Model

Evidence

For the Vera Rubin NVL72 deployment however, there are two 800G OSFP cages per GPU for a total of 1.6T per GPU bandwidth

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

Vera Rubin NVL72 則每顆 GPU 有 2 個 800G OSFP cages,合計每顆 GPU 1.6T bandwidth。

  • Epistemic Mode: ASSERTED
  • Mapping Status: COMPLETE

③ Semantic Frame

{
  "attribute": "BANDWIDTH",
  "context_nodes": [
    {
      "id": "04_knowledge_base/GPU",
      "label": "GPU"
    },
    {
      "id": "04_knowledge_base/800G",
      "label": "800G"
    },
    {
      "id": "04_knowledge_base/OSFP (Octal Small Form-factor Pluggable)",
      "label": "OSFP"
    },
    {
      "id": "04_knowledge_base/1.6T",
      "label": "1.6T"
    }
  ],
  "entity": {
    "id": "04_knowledge_base/Vera Rubin",
    "label": "Vera Rubin"
  },
  "frame_type": "ATTRIBUTE",
  "qualifiers": {
    "condition_text": null,
    "numeric_mentions": [
      "2",
      "800",
      "1.6"
    ],
    "temporal_mentions": []
  },
  "value": {
    "numeric_mentions": [
      "2",
      "800",
      "1.6"
    ],
    "value_text": "Vera Rubin NVL72 則每顆 GPU 有 2 個 800G OSFP cages,合計每顆 GPU 1.6T bandwidth。"
  }
}

④ Canonical Entity Mapping

RoleSurface LabelCanonical Target
entityVera Rubin04_knowledge_base/Vera Rubin
context_0GPUGPU
context_1800G800G
context_2OSFP04_knowledge_base/OSFP (Octal Small Form-factor Pluggable)
context_31.6T1.6T

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。