SA260324R-0276_r1

SA260324R-0276

① SA Source

• Source: 開啟完整 SA 文章
• Section: Vera ETL256
• Line hint: 346

Context Before

Evidence

CPU demand is rising as AI workloads require more data handling, preprocessing, and orchestration beyond GPU compute.

Context After

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

隨著 AI workload 在 GPU compute 之外需要更多資料處理、preprocessing 與 orchestration，CPU demand 正在上升。

• Epistemic Mode: ASSERTED
• Mapping Status: COMPLETE

③ Semantic Frame

{
  "attribute": "DEMAND_TREND",
  "context_nodes": [
    {
      "id": "04_knowledge_base/GPU",
      "label": "GPU"
    }
  ],
  "entity": {
    "id": "04_knowledge_base/CPU",
    "label": "CPU"
  },
  "frame_type": "ATTRIBUTE",
  "qualifiers": {
    "condition_text": null,
    "numeric_mentions": [],
    "temporal_mentions": []
  },
  "value": {
    "numeric_mentions": [],
    "value_text": "AI workloads 的 data handling、preprocessing 與 orchestration 需求使 CPU demand 上升。"
  }
}

④ Canonical Entity Mapping

Role	Surface Label	Canonical Target
entity	CPU	CPU
context_node	GPU	GPU

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。