VR2R-0369

回到這篇 SA Coverage

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

VR NVL72 takes liquid cooling to the next level. The VR NVL72 compute tray is 100% liquid cooled, whereas GB200 and GB300 compute trays adopt a hybrid of 85% liquid cooling and 15% air cooling. As a result of this, fans are removed from the compute tray and the cold plate coverage increases to remove heat from the front half of the chassis. An internal manifold will be placed in the middle of the chassis to distribute inlet coolant to the various modules and to collect the outlet coolant. Each of the modules within the compute tray will have a cold plate module attached. 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

cold plate coverage 增加,以移除 chassis 前半部的熱。

  • Epistemic Mode: ASSERTED
  • Mapping Status: COMPLETE

③ Semantic Frame

{
  "attribute": "COVERAGE_EXPANSION",
  "context_nodes": [],
  "entity": {
    "id": "04_knowledge_base/Cold plate",
    "label": "cold plate"
  },
  "frame_type": "ATTRIBUTE",
  "qualifiers": {
    "condition_text": null,
    "numeric_mentions": [],
    "temporal_mentions": []
  },
  "value": {
    "numeric_mentions": [],
    "value_text": "cold-plate coverage increases to remove heat from the front half of the chassis."
  }
}

④ Canonical Entity Mapping

RoleSurface LabelCanonical Target
entitycold plate04_knowledge_base/Cold plate

⑤ V2 Draft(需要修正時直接編輯)

Inline repair

只編輯以下三個 Draft 區塊。完成後將 review_action 設為 REQUEST_REPAIR,再手動執行 Repair Preview。
執行腳本前,Draft 不會寫入 Claim Store 或 Graph。

V2 Atomic Claim Draft

cold plate coverage 增加,以移除 chassis 前半部的熱。

V2 Semantic Frame Draft

{
  "attribute": "COVERAGE_EXPANSION",
  "context_nodes": [],
  "entity": {
    "id": "04_knowledge_base/Cold plate",
    "label": "cold plate"
  },
  "frame_type": "ATTRIBUTE",
  "qualifiers": {
    "condition_text": null,
    "numeric_mentions": [],
    "temporal_mentions": []
  },
  "value": {
    "numeric_mentions": [],
    "value_text": "cold-plate coverage increases to remove heat from the front half of the chassis."
  }
}

V2 Revision Metadata Draft

{
  "epistemic_mode": "ASSERTED",
  "mapping_status": "COMPLETE"
}

⑥ 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。