clm_3f96e4db9c244fb2bf9a257b6e6b3d78_r1

IX2-0258

① SA Source

• Source: 開啟完整 SA 文章
• Section: Nvidia Blackwell Perf TCO Analysis - B100 vs B200 vs GB200NVL72
• Line hint: 430

Context Before

Source: SemiAnalysis InferenceX ↗

Evidence

As mentioned earlier in the article, B300 servers only connect at most 8 GPUs using the 900GByte/s/GPU NVLink scale-up network whereas GB300 NVL72 servers connect 72 GPUs using the NVlink scale-up network

Context After

SemiAnalysis is free open source software and reader-supported. To receive new posts and support our work, consider becoming a free or paid subscriber.

Subscribed

② Atomic Claim

如前文所述，B300 server 最多只能用 900GByte/s/GPU 的 NVLink scale-up network 連接 8 顆 GPUs，而 GB300 NVL72 server 可在同一 NVlink scale-up network 內連接 72 顆 GPUs。

• Epistemic Mode: ASSERTED
• Mapping Status: PARTIAL

③ Semantic Frame

{
  "frame_type": "NARY_RELATION",
  "participants": [
    {
      "node": {
        "id": "04_knowledge_base/NVIDIA B300",
        "label": "B300"
      },
      "role": "endpoint_or_system"
    },
    {
      "node": {
        "id": "04_knowledge_base/GPU",
        "label": "GPU"
      },
      "role": "connected_entity"
    },
    {
      "node": {
        "id": "04_knowledge_base/NVLink",
        "label": "NVLink"
      },
      "role": "connected_entity"
    },
    {
      "node": {
        "id": "04_knowledge_base/Scale-up network",
        "label": "scale-up network"
      },
      "role": "connected_entity"
    },
    {
      "node": {
        "id": "04_knowledge_base/GB300 NVL72",
        "label": "GB300 NVL72"
      },
      "role": "connected_entity"
    }
  ],
  "qualifiers": {
    "condition_text": null,
    "numeric_mentions": [
      "900GB",
      "8",
      "72"
    ],
    "temporal_mentions": []
  },
  "relation_type": "CONNECTS_TO"
}

④ Canonical Entity Mapping

Role	Surface Label	Canonical Target
endpoint_or_system	B300	04_knowledge_base/NVIDIA B300
connected_entity	GPU	GPU
connected_entity	NVLink	NVLink
connected_entity	scale-up network	04_knowledge_base/Scale-up network
connected_entity	GB300 NVL72	04_knowledge_base/GB300 NVL72

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。