clm_fdc2c0fbd6284b07917e96a0c49e1202_r1

NIEK2-0278

① SA Source

• Source: 開啟完整 SA 文章
• Section: Feynman
• Line hint: 341

Context Before

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.

Evidence

The Vera standalone rack addresses this directly, achieving unprecedented density by fitting 256 CPUs into a single rack — a feat that necessitates liquid cooling

Context After

Source: SemiAnalysis

② Atomic Claim

Vera standalone rack 直接針對此問題設計，單一機櫃可容納 256 顆 CPUs，達到前所未有的密度，也因此必須使用 liquid cooling。

• Epistemic Mode: ASSERTED
• Mapping Status: PARTIAL

③ Semantic Frame

{
  "additional_nodes": [],
  "frame_type": "RELATION",
  "object": {
    "id": "04_knowledge_base/液冷散熱",
    "label": "liquid cooling"
  },
  "predicate": "USES",
  "qualifiers": {
    "condition_text": null,
    "numeric_mentions": [
      "256"
    ],
    "temporal_mentions": []
  },
  "subject": {
    "id": "04_knowledge_base/CPU",
    "label": "CPUs"
  }
}

④ Canonical Entity Mapping

Role	Surface Label	Canonical Target
subject	CPUs	CPU
object	liquid cooling	04_knowledge_base/液冷散熱

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。