VR2R-0543_r1

VR2R-0543

① SA Source

• Source: 開啟完整 SA 文章
• Section: Scale-Up Network - NVLink 6
• Line hint: 456

Context Before

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

Evidence

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

Context After

Although the NVLink 6 Switch used in the VR NVL72 system delivers the same per switch 28.8T aggregate bandwidth as NVLink 5 Switch, the SerDes speed on the NVLink 6 Switch is double the SerDes speed of NVLink 5 Switch but with the same number of DPs. As such, in order to deliver double the aggregate scale-up bandwidth required for NVLink 6, Vera Rubin NVL72 racks will contain double the number of NVLink Switches as compared to GB200 racks.

② Atomic Claim

NVIDIA 的 GB200 scale-up architecture，在單一 NVL72 rack 中包含 18 顆 NVLink 5 Switch chips。

• Epistemic Mode: ASSERTED
• Mapping Status: COMPLETE

③ Semantic Frame

{
  "frame_type": "NARY_RELATION",
  "participants": [
    {
      "node": {
        "id": "02_companies/NVDA",
        "label": "NVIDIA"
      },
      "role": "vendor"
    },
    {
      "node": {
        "id": "04_knowledge_base/GB200",
        "label": "GB200"
      },
      "role": "platform"
    },
    {
      "node": {
        "id": "04_knowledge_base/NVLink5",
        "label": "NVLink 5"
      },
      "role": "switch_interconnect"
    }
  ],
  "qualifiers": {
    "condition_text": "single NVL72 rack",
    "numeric_mentions": [
      "18",
      "1"
    ],
    "temporal_mentions": []
  },
  "relation_type": "GB200_NVL72_RACK_HAS_NVLINK5_SWITCH_CHIPS"
}

④ Canonical Entity Mapping

Role	Surface Label	Canonical Target
vendor	NVIDIA	NVDA
platform	GB200	GB200
switch_interconnect	NVLink 5	NVLink5

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。