VR2-0630

① SA Source

Context Before

image

Source: SemiAnalysis AI Networking Model

Evidence

Having two 800G logical ports per GPU is advantageous because it allows multi-plane network deployments without complex fiber management – by splitting one logical GPU two ways to two different leaf switches

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

每顆 GPU 有兩個 800G logical ports 的優點,是可以把一顆 logical GPU 分兩路連至兩個不同 leaf switches,實現 multi-plane network deployments,且不需複雜 fiber management。

  • Epistemic Mode: ASSERTED
  • Mapping Status: COMPLETE

③ Semantic Frame

{
  "frame_type": "NARY_RELATION",
  "participants": [
    {
      "node": {
        "id": "04_knowledge_base/GPU",
        "label": "GPU"
      },
      "role": "endpoint_or_system"
    },
    {
      "node": {
        "id": "04_knowledge_base/800G",
        "label": "800G"
      },
      "role": "connected_entity"
    },
    {
      "node": {
        "id": "04_knowledge_base/Multi-plane network architecture",
        "label": "multi-plane network deployments"
      },
      "role": "connected_entity"
    },
    {
      "node": {
        "id": "04_knowledge_base/Fiber interconnect",
        "label": "fiber"
      },
      "role": "connected_entity"
    }
  ],
  "qualifiers": {
    "condition_text": null,
    "numeric_mentions": [
      "800"
    ],
    "temporal_mentions": []
  },
  "relation_type": "CONNECTS_TO"
}

④ Canonical Entity Mapping

RoleSurface LabelCanonical Target
endpoint_or_systemGPUGPU
connected_entity800G800G
connected_entitymulti-plane network deployments04_knowledge_base/Multi-plane network architecture
connected_entityfiber04_knowledge_base/Fiber interconnect

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。