clm_5e693d8c03c844c1bc6ae4caab0eabc9_r2

NIEK2-0268

回到這篇 SA Coverage

① SA Source

• Source: 開啟完整 SA 文章
• Section: Feynman
• Line hint: 335

Context Before

The downstream implications of this are exposed in our institutional research, trusted by all major hyperscalers, semiconductor companies, and AI Labs, at sales@semianalysis.com

Feynman

Evidence

While not much is known about Feynman, the Keynote sneak peek was enough to tell us Feynman will be exciting, with three major technical innovations all being pushed in a single platform: Hybrid bonding/SoIC ↗, A16, CPO ↗, and custom HBM ↗.

Context After

While Feynman adopting CPO is on the roadmap, the question is to what extent? Will in-rack interconnectivity be copper based or optical? We will show possible configurations behind the Paywall. Vera ETL256

CPU demand is rising as AI workloads require more data handling, preprocessing, and orchestration beyond GPU compute. Reinforcement learning further increases demand, with CPUs running simulations, executing code, and verifying outputs in parallel. As GPUs scale faster than CPUs, larger CPU clusters are needed to keep them fully utilized, making CPUs a growing bottleneck.

② Atomic Claim

Feynman 將採用 A16。

• Epistemic Mode: EXPECTED
• Mapping Status: COMPLETE

③ Semantic Frame

{
  "additional_nodes": [],
  "frame_type": "RELATION",
  "object": {
    "id": "04_knowledge_base/A16",
    "label": "A16"
  },
  "predicate": "USES",
  "qualifiers": {
    "condition_text": null,
    "numeric_mentions": [],
    "temporal_mentions": []
  },
  "subject": {
    "id": "04_knowledge_base/NVIDIA Feynman Architecture",
    "label": "Feynman"
  }
}

④ Canonical Entity Mapping

Role	Surface Label	Canonical Target
subject	Feynman	04_knowledge_base/NVIDIA Feynman Architecture
object	A16	A16

⑤ V2 Draft（需要修正時直接編輯）

Inline repair

只編輯以下三個 Draft 區塊。完成後將 review_action 設為 REQUEST_REPAIR，再手動執行 Repair Preview。
執行腳本前，Draft 不會寫入 Claim Store 或 Graph。

V2 Atomic Claim Draft

Feynman 將採用 A16。

V2 Semantic Frame Draft

{
  "additional_nodes": [],
  "frame_type": "RELATION",
  "object": {
    "id": "04_knowledge_base/A16",
    "label": "A16"
  },
  "predicate": "USES",
  "qualifiers": {
    "condition_text": null,
    "numeric_mentions": [],
    "temporal_mentions": []
  },
  "subject": {
    "id": "04_knowledge_base/NVIDIA Feynman Architecture",
    "label": "Feynman"
  }
}

V2 Revision Metadata Draft

{
  "epistemic_mode": "EXPECTED",
  "mapping_status": "COMPLETE"
}

⑥ 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。