VR2R-0410

回到這篇 SA Coverage

① SA Source

  • Source: 開啟完整 SA 文章
  • Section: Nvidia's Christmas Present: GB300 & B300 - Reasoning Inference, Amazon, Memory, Supply Chain
  • Line hint: 535

Context Before

2024年12月25日

Read full story ↗

Evidence

Power sloshing between Vera and Rubin is still present, a feature carried over from GB300 that we covered in our article above. This enables more efficient power planning by sharing the 4800W provided amongst both GPU and CPU. In GPU demanding loads, 2300W goes to each GPU leaving 200W for the CPU. Vera can then dynamically boost to higher power when GPU demand drops to help minimize GPU idle time while not overprovisioning power.

Context After

For the modules at the front of chassis - CX-9,BlueField-4, and management - the PDB feeds 12VDC of power to each of the modules. 50VDC l down to 12VDC at the PDB then, via a coper busbar device, the PDB feeds 12VDC to its neighboring modules. The power connector of CX-9 is located near the Paladin HD2 at the top of the modules.

Compute Tray: Mechanical

② Atomic Claim

這讓 4,800W power 可以在 GPU 與 CPU 間共享,提升 power planning efficiency。

  • Epistemic Mode: ASSERTED
  • Mapping Status: COMPLETE

③ Semantic Frame

{
  "frame_type": "NARY_RELATION",
  "participants": [
    {
      "node": {
        "id": "04_knowledge_base/GPU",
        "label": "GPU"
      },
      "role": "processor"
    },
    {
      "node": {
        "id": "04_knowledge_base/CPU",
        "label": "CPU"
      },
      "role": "processor"
    }
  ],
  "qualifiers": {
    "condition_text": "power sloshing context from preceding claim",
    "numeric_mentions": [
      "4800W"
    ],
    "temporal_mentions": []
  },
  "relation_type": "SHARES_POWER_BUDGET_BETWEEN_GPU_AND_CPU"
}

④ Canonical Entity Mapping

RoleSurface LabelCanonical Target
processorGPUGPU
processorCPUCPU

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

這讓 4,800W power 可以在 GPU 與 CPU 間共享,提升 power planning efficiency。

V2 Semantic Frame Draft

{
  "frame_type": "NARY_RELATION",
  "participants": [
    {
      "node": {
        "id": "04_knowledge_base/GPU",
        "label": "GPU"
      },
      "role": "processor"
    },
    {
      "node": {
        "id": "04_knowledge_base/CPU",
        "label": "CPU"
      },
      "role": "processor"
    }
  ],
  "qualifiers": {
    "condition_text": "power sloshing context from preceding claim",
    "numeric_mentions": [
      "4800W"
    ],
    "temporal_mentions": []
  },
  "relation_type": "SHARES_POWER_BUDGET_BETWEEN_GPU_AND_CPU"
}

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。