VR2R-0639_r1

VR2R-0639

① SA Source

• Source: 開啟完整 SA 文章
• Section: Ethernet-Based Cluster Deployments
• Line hint: 550

Context Before

Large-scale cluster deployments where cluster sizes exceed 100k GPUs typically utilize multi-plane network architectures because single-plane network architectures do not have enough logical ports at current switch generations to support larger networks without resorting to a high number of switch layers of 3 or more layers.

Evidence

Recall from above that a Vera Rubin NVL72 cluster built with Q3400-X800 switches at 1.6T logical ports per GPU cannot scale beyond the maximum cluster size of 93,312 GPUs.

Context After

Even if future switch generations continue to double the maximum possible switching capacity per switch box, the per GPU bandwidth is also expected to double, which means that the effective logical port count in a cluster network is unlikely to change.

② Atomic Claim

以 Q3400-X800 switches 建構、每顆 GPU 使用 1.6T logical port 的 Vera Rubin NVL72 cluster，最大規模無法超過 93,312 顆 GPU。

• Epistemic Mode: ASSERTED
• Mapping Status: COMPLETE

③ Semantic Frame

{
  "frame_type": "NARY_RELATION",
  "participants": [
    {
      "node": {
        "id": "04_knowledge_base/Vera Rubin",
        "label": "Vera Rubin"
      },
      "role": "platform"
    },
    {
      "node": {
        "id": "04_knowledge_base/Quantum X800",
        "label": "Q3400"
      },
      "role": "switch_platform"
    },
    {
      "node": {
        "id": "04_knowledge_base/GPU",
        "label": "GPU"
      },
      "role": "processor"
    }
  ],
  "qualifiers": {
    "condition_text": "Q3400-X800 switches; 1.6T logical port per GPU",
    "numeric_mentions": [
      "1.6T",
      "93,312"
    ],
    "temporal_mentions": []
  },
  "relation_type": "VERA_RUBIN_Q3400_CLUSTER_MAX_GPU_SCALE"
}

④ Canonical Entity Mapping

Role	Surface Label	Canonical Target
platform	Vera Rubin	04_knowledge_base/Vera Rubin
switch_platform	Q3400	04_knowledge_base/Quantum X800
processor	GPU	GPU

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。