clm_2ee3b79c57a64099a7a6c357074d368c_r1

VR2-0574

① SA Source

• Source: 開啟完整 SA 文章
• Section: Scale-Up Network – NVLink 6
• Line hint: 685

Context Before

NVIDIA could also opt to deploy wider racks instead as is the case of AMD’s Helios rack ↗, but this could affect the signal integrity on the PCB as electrical signals will have to traverse a longer path.

Scale-Up Network – NVLink 6

Evidence

For Vera Rubin NVL72, the scale-up network continues to be rail-optimized with all-to-all connectivity between each GPU and switch ASIC in the scale-up domain

Context After

Last year, we discussed NVIDIA’s GB200 scale-up architecture, which consists of 18 NVLink 5 Switch chips in a single rack for the NVL72 system.

② Atomic Claim

在 Vera Rubin NVL72 中，scale-up network 仍採 rail-optimized design，scale-up domain 內每顆 GPU 與每顆 switch ASIC 之間都為 all-to-all connectivity。

• Epistemic Mode: ASSERTED
• Mapping Status: PARTIAL

③ Semantic Frame

{
  "frame_type": "NARY_RELATION",
  "participants": [
    {
      "node": {
        "id": "04_knowledge_base/Vera Rubin",
        "label": "Vera Rubin"
      },
      "role": "endpoint_or_system"
    },
    {
      "node": {
        "id": "04_knowledge_base/Scale-up network",
        "label": "scale-up network"
      },
      "role": "connected_entity"
    },
    {
      "node": {
        "id": "04_knowledge_base/GPU",
        "label": "GPU"
      },
      "role": "connected_entity"
    },
    {
      "node": {
        "id": "04_knowledge_base/Switch ASIC",
        "label": "switch ASIC"
      },
      "role": "context_entity"
    }
  ],
  "qualifiers": {
    "condition_text": null,
    "numeric_mentions": [],
    "temporal_mentions": []
  },
  "relation_type": "CONNECTS_TO"
}

④ Canonical Entity Mapping

Role	Surface Label	Canonical Target
endpoint_or_system	Vera Rubin	04_knowledge_base/Vera Rubin
connected_entity	scale-up network	04_knowledge_base/Scale-up network
connected_entity	GPU	GPU
context_entity	switch ASIC	04_knowledge_base/Switch ASIC

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。