clm_f73548d9626b4267b7de5d88f1a1dee3_r1

GB2-0044

① SA Source

• Source: 開啟完整 SA 文章
• Section: GB200 NVL576
• Line hint: 349

Context Before

Source: SemiAnalysis

Evidence

The additional BOM cost for NVL576 is astronomical at over $5.6 million dollars (9.7k per GPU) that Nvidia would need to pay to their suppliers.

Context After

Applying a blanket 75% gross margin means customers would need to pay an additional 38.8k per GPU for NVL576 copper + optical connections. While Nvidia can cut back on margins, even at 0% for the scale out NVLink solution, it’s basically untenable. This is the exact same reason to why DGX H100 NVL256 never shipped due to the massive cost of transceivers ↗. Optics is far too expensive for the accelerator interconnect as the accelerator interconnect needs to be extremely high bandwidth.

② Atomic Claim

SemiAnalysis 估計 NVL576 額外 BOM 成本超過 560 萬美元，約每 GPU 9.7k 美元。

• Epistemic Mode: ESTIMATED
• Mapping Status: COMPLETE

③ Semantic Frame

{
  "attribute": "additional_bom_cost",
  "context_nodes": [
    {
      "id": "04_knowledge_base/GPU",
      "label": "GPU"
    },
    {
      "id": "02_companies/NVDA",
      "label": "Nvidia"
    }
  ],
  "entity": {
    "id": "04_knowledge_base/NVL576",
    "label": "NVL576"
  },
  "frame_type": "ATTRIBUTE",
  "qualifiers": {
    "condition_text": null,
    "numeric_mentions": [
      "$5.6 million",
      "9.7k"
    ],
    "temporal_mentions": []
  },
  "value": {
    "numeric_mentions": [
      "$5.6 million",
      "9.7k"
    ],
    "value_text": ">$5.6M total; ~$9.7k per GPU"
  }
}

④ Canonical Entity Mapping

Role	Surface Label	Canonical Target
entity	NVL576	NVL576
context_0	GPU	GPU
context_1	Nvidia	NVDA

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。