VR2R-0600::EPI02

回到這篇 SA Coverage

① SA Source

Context Before

image

Source: SemiAnalysis AI Networking Model ↗

Evidence

To scale beyond the maximum cluster size of 93,312 GPUs, a 2-plane network can be deployed in which each of the two 800G OSFP cages supporting a GPU are linked to separate leaf switches on different network plans. This allows you to build a 186,624-GPU cluster size as diagrammed below and even scale up to 746,496-GPU cluster sizes.

Context After

2(115,2008002)3=2(1442)3=746,496

image

② Atomic Claim

In the hypothetical 800G-port VR NVL deployment, scaling can reach 746,496 GPUs under the source network assumptions.

  • Epistemic Mode: HYPOTHETICAL
  • Mapping Status: COMPLETE

③ Semantic Frame

{
  "attribute": "HYPOTHETICAL_CLUSTER_SIZE",
  "context_nodes": [],
  "entity": {
    "id": "04_knowledge_base/GPU",
    "label": "GPU"
  },
  "frame_type": "ATTRIBUTE",
  "qualifiers": {
    "condition_text": "Same hypothetical two-plane 800G example; sizes are scenario capacities",
    "numeric_mentions": [],
    "temporal_mentions": []
  },
  "value": {
    "numeric_mentions": [],
    "value_text": "In the hypothetical 800G-port VR NVL deployment, scaling can reach 746,496 GPUs under the source network assumptions."
  }
}

④ Canonical Entity Mapping

RoleSurface LabelCanonical Target
entityGPUGPU

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

In the hypothetical 800G-port VR NVL deployment, scaling can reach 746,496 GPUs under the source network assumptions.

V2 Semantic Frame Draft

{
  "attribute": "HYPOTHETICAL_CLUSTER_SIZE",
  "context_nodes": [],
  "entity": {
    "id": "04_knowledge_base/GPU",
    "label": "GPU"
  },
  "frame_type": "ATTRIBUTE",
  "qualifiers": {
    "condition_text": "Same hypothetical two-plane 800G example; sizes are scenario capacities",
    "numeric_mentions": [],
    "temporal_mentions": []
  },
  "value": {
    "numeric_mentions": [],
    "value_text": "In the hypothetical 800G-port VR NVL deployment, scaling can reach 746,496 GPUs under the source network assumptions."
  }
}

V2 Revision Metadata Draft

{
  "epistemic_mode": "HYPOTHETICAL",
  "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。