IX2-0263
① SA Source
- Source: 開啟完整 SA 文章
- Section:
Nvidia Blackwell Perf TCO Analysis - B100 vs B200 vs GB200NVL72 - Line hint:
440
Context Before
Source: SemiAnalysis InferenceX ↗
Evidence
The bandwidth advantage of the rack-scale architecture directly drives a much lower cost per token
Context After
Source: SemiAnalysis InferenceX ↗
② Atomic Claim
rack-scale architecture 的頻寬優勢會直接轉化成更低的每 token 成本。
- Epistemic Mode:
ASSERTED - Mapping Status:
PARTIAL
③ Semantic Frame
{
"attribute": "BANDWIDTH",
"context_nodes": [],
"entity": {
"id": "04_knowledge_base/Rack-scale architecture",
"label": "rack-scale architecture"
},
"frame_type": "ATTRIBUTE",
"qualifiers": {
"condition_text": null,
"numeric_mentions": [],
"temporal_mentions": []
},
"value": {
"numeric_mentions": [],
"value_text": "rack-scale architecture 的頻寬優勢會直接轉化成更低的每 token 成本。"
}
}④ Canonical Entity Mapping
| Role | Surface Label | Canonical Target |
|---|---|---|
| entity | rack-scale architecture | 04_knowledge_base/Rack-scale architecture |
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。