VR2-0391

① SA Source

Context Before

Our VR NVL72 Component BoM and Power Budget Model has provides the $ content breakdown of high end CCL and PCB content for VR NVL72 vs GB200/GB300.

Compute Tray: Thermal

Evidence

Each cold plate module connects to the internal manifolds via MQD (a smaller form factor quick disconnect specification standard by Nvidia for compact area application within the compute tray)

Context After

image

Source: Nvidia VR NVL72 Component BoM and Power Budget Model

② Atomic Claim

每個 cold plate module 透過 MQD 連接 internal manifolds;MQDNvidiacompute tray 內 compact-area application 制定的較小型 quick disconnect specification。

  • Epistemic Mode: ASSERTED
  • Mapping Status: COMPLETE

③ Semantic Frame

{
  "comparison_expression": "每個 cold plate module 透過 MQD 連接 internal manifolds;MQD 是 Nvidia 為 compute tray 內 compact-area application 制定的較小型 quick disconnect specification。",
  "entities": [
    {
      "id": "04_knowledge_base/Cold plate",
      "label": "cold plate"
    },
    {
      "id": "04_knowledge_base/Quick Disconnect",
      "label": "MQD"
    },
    {
      "id": "02_companies/NVDA",
      "label": "Nvidia"
    },
    {
      "id": "04_knowledge_base/Compute Tray",
      "label": "compute tray"
    }
  ],
  "frame_type": "COMPARISON",
  "metric": "COMPUTE_PERFORMANCE",
  "operator": "UNSPECIFIED_COMPARISON",
  "qualifiers": {
    "condition_text": null,
    "numeric_mentions": [],
    "temporal_mentions": []
  }
}

④ Canonical Entity Mapping

RoleSurface LabelCanonical Target
comparison_entity_0cold plate04_knowledge_base/Cold plate
comparison_entity_1MQD04_knowledge_base/Quick Disconnect
comparison_entity_2NvidiaNVDA
comparison_entity_3compute tray04_knowledge_base/Compute Tray

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。