clm_1d75faf5493d4359868683f5eb4ee662_r1

NIEK2-0181

① SA Source

• Source: 開啟完整 SA 文章
• Section: Inter-rack
• Line hint: 203

Context Before

Source: SemiAnalysis Networking Model ↗

Evidence

However, for greater fan out the preferred configuration seems to be each 100G lane from the LPU going to 4 individual cages, with each cage escaping 800G of C2C from 8 LPUs

Context After

Nvidia’s CPO Roadmap

NVIDIA revealed its CPO Roadmap at the GTC Keynote 2026, with Jensen following up with additional commentary in the Financial Analyst Q+A meeting held the following day. Though many had their hopes up for CPO to be used for scale-up within the rack for Rubin Ultra Kyber, Nvidia’s focus was instead on using CPO to enable larger world size compute systems.

② Atomic Claim

若需要更高 fan-out，較可能採用的配置，是把每顆 LPU 的每條 100G lane 分別接到 4 個 cages，每個 cage 從 8 顆 LPU 引出 800G 的 C2C。

• Epistemic Mode: INFERRED
• Mapping Status: COMPLETE

③ Semantic Frame

{
  "frame_type": "NARY_RELATION",
  "participants": [
    {
      "node": {
        "id": "04_knowledge_base/Groq LPU",
        "label": "LPU"
      },
      "role": "user_or_subject"
    },
    {
      "node": {
        "id": "04_knowledge_base/100G",
        "label": "100G"
      },
      "role": "used_entity"
    },
    {
      "node": {
        "id": "04_knowledge_base/800G",
        "label": "800G"
      },
      "role": "used_entity"
    },
    {
      "node": {
        "id": "04_knowledge_base/Chip-to-Chip Interconnect",
        "label": "C2C"
      },
      "role": "used_entity"
    }
  ],
  "qualifiers": {
    "condition_text": null,
    "numeric_mentions": [
      "100",
      "4",
      "8",
      "800"
    ],
    "temporal_mentions": []
  },
  "relation_type": "USES"
}

④ Canonical Entity Mapping

Role	Surface Label	Canonical Target
user_or_subject	LPU	04_knowledge_base/Groq LPU
used_entity	100G	100G
used_entity	800G	800G
used_entity	C2C	04_knowledge_base/Chip-to-Chip Interconnect

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。