VR2R-0171

① SA Source

Context Before

The standalone/dedicated rack direction materially changes the deployment calculus.

Evidence

A dual-rack approach allows hyperscalers to scale prefill

Context After

and decode capacity independently, optimize datacenter power envelopes, and reduce system-level failure domains versus tightly coupled trays. More importantly, it formalizes architectural disaggregation between inference prefill (compute-bound) and decode (bandwidth-bound).

② Atomic Claim

Dual-rack approach 讓 hyperscalers 可以獨立擴展 prefill……

  • Epistemic Mode: ASSERTED
  • Mapping Status: PARTIAL

③ Semantic Frame

{
  "frame_type": "NARY_RELATION",
  "participants": [
    {
      "node": {
        "id": "04_knowledge_base/Hyperscaler",
        "label": "hyperscalers"
      },
      "role": "operator"
    },
    {
      "node": {
        "id": "04_knowledge_base/Prefill",
        "label": "prefill"
      },
      "role": "workload"
    }
  ],
  "qualifiers": {
    "condition_text": "extraction fragment continues in VR2R-0172",
    "numeric_mentions": [],
    "temporal_mentions": []
  },
  "relation_type": "DUAL_RACK_PREFILL_SCALING"
}

④ Canonical Entity Mapping

RoleSurface LabelCanonical Target
operatorhyperscalersHyperscaler
workloadprefillPrefill

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。