clm_950d84969e2c4497be5ff29f5e17285a_r1

VR2-0573

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

The bidirectional SerDes technology employed on the copper backplane is used for NVIDIA’s scale-up network

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

copper backplane 所採用的 bidirectional SerDes technology 用於 NVIDIA 的 scale-up network。

• Epistemic Mode: ASSERTED
• Mapping Status: PARTIAL

③ Semantic Frame

{
  "frame_type": "NARY_RELATION",
  "participants": [
    {
      "node": {
        "id": "04_knowledge_base/Copper",
        "label": "copper"
      },
      "role": "user_or_subject"
    },
    {
      "node": {
        "id": "04_knowledge_base/Backplane",
        "label": "backplane"
      },
      "role": "used_entity"
    },
    {
      "node": {
        "id": "04_knowledge_base/SerDes",
        "label": "SerDes technology"
      },
      "role": "used_entity"
    },
    {
      "node": {
        "id": "02_companies/NVDA",
        "label": "NVIDIA"
      },
      "role": "used_entity"
    },
    {
      "node": {
        "id": "04_knowledge_base/Scale-up network",
        "label": "scale-up network"
      },
      "role": "used_entity"
    }
  ],
  "qualifiers": {
    "condition_text": null,
    "numeric_mentions": [],
    "temporal_mentions": []
  },
  "relation_type": "USES"
}

④ Canonical Entity Mapping

Role	Surface Label	Canonical Target
user_or_subject	copper	Copper
used_entity	backplane	Backplane
used_entity	SerDes technology	SerDes
used_entity	NVIDIA	NVDA
used_entity	scale-up network	04_knowledge_base/Scale-up network

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。