VR2R-0056::SPLIT02

回到這篇 SA Coverage

① SA Source

  • Source: 開啟完整 SA 文章
  • Section: Extreme Co-design: 6 Silicon Product Offerings under the Rubin Platform - Chip Floorplans & Specifications
  • Line hint: 85

Context Before

image

Source: SemiAnalysis, Nvidia

Evidence

Rubin’s dense FP4 and FP8 FLOPs increase by roughly ~3.5× versus GB200, while FP16 FLOPs rise by a more modest ~1.6x, underscoring NVIDIA’s continued emphasis on FP4/FP8 as the primary scaling vector. On the memory side, HBM capacity remains flat from GB300, while HBM bandwidth scales more aggressively at ~2.8x. Overall, the architecture prioritizes bandwidth and low-precision compute.

Context After

image

Source: SemiAnalysis, Nvidia

② Atomic Claim

相較 GB200,Rubin 的 FP16 FLOPs 約提升 1.6 倍。

  • Epistemic Mode: ASSERTED
  • Mapping Status: COMPLETE

③ Semantic Frame

{
  "frame_type": "NARY_RELATION",
  "participants": [
    {
      "node": {
        "id": "04_knowledge_base/Vera Rubin",
        "label": "Rubin"
      },
      "role": "subject_system"
    },
    {
      "node": {
        "id": "04_knowledge_base/GB200",
        "label": "GB200"
      },
      "role": "comparison_baseline"
    },
    {
      "node": {
        "id": "04_knowledge_base/FP16",
        "label": "FP16"
      },
      "role": "metric"
    }
  ],
  "qualifiers": {
    "condition_text": null,
    "numeric_mentions": [
      "~1.6x"
    ],
    "temporal_mentions": []
  },
  "relation_type": "FP16_FLOPS_SCALING"
}

④ Canonical Entity Mapping

RoleSurface LabelCanonical Target
subject_systemRubin04_knowledge_base/Vera Rubin
comparison_baselineGB200GB200
metricFP16FP16

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

相較 GB200,Rubin 的 FP16 FLOPs 約提升 1.6 倍。

V2 Semantic Frame Draft

{
  "frame_type": "NARY_RELATION",
  "participants": [
    {
      "node": {
        "id": "04_knowledge_base/Vera Rubin",
        "label": "Rubin"
      },
      "role": "subject_system"
    },
    {
      "node": {
        "id": "04_knowledge_base/GB200",
        "label": "GB200"
      },
      "role": "comparison_baseline"
    },
    {
      "node": {
        "id": "04_knowledge_base/FP16",
        "label": "FP16"
      },
      "role": "metric"
    }
  ],
  "qualifiers": {
    "condition_text": null,
    "numeric_mentions": [
      "~1.6x"
    ],
    "temporal_mentions": []
  },
  "relation_type": "FP16_FLOPS_SCALING"
}

V2 Revision Metadata Draft

{
  "epistemic_mode": "ASSERTED",
  "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。