NIEK2-0289

① SA Source

Context Before

Source: SemiAnalysis

Each Vera ETL rack consists of 32 compute trays, 16 above and 16 below, arranged symmetrically around four 1U MGX ETL switch trays (based on Spectrum-6) in the middle. The symmetric split is deliberate: it minimizes cable length variance between compute trays and the spine, keeping all connections within copper reach. From each switch tray, rear-facing ports connect to that copper spine for intra-rack communication, while 32 front-facing OSFP cages provide optical connectivity to the rest of the POD.

Evidence

With each compute tray housing 8 Vera CPUs, the result is 256 CPUs per rack, all interconnected over Ethernet through a single, flat network

Context After

image

Source: SemiAnalysis

② Atomic Claim

每個 compute tray 配置 8 顆 Vera CPUs,因此每櫃共 256 顆 CPUs,並透過單一 flat network 以 Ethernet 全部互連。

  • Epistemic Mode: ASSERTED
  • Mapping Status: COMPLETE

③ Semantic Frame

{
  "frame_type": "NARY_RELATION",
  "participants": [
    {
      "node": {
        "id": "04_knowledge_base/Compute Tray",
        "label": "compute tray"
      },
      "role": "system_or_subject"
    },
    {
      "node": {
        "id": "04_knowledge_base/NVIDIA Vera CPU",
        "label": "Vera CPUs"
      },
      "role": "component"
    },
    {
      "node": {
        "id": "04_knowledge_base/Ethernet",
        "label": "Ethernet"
      },
      "role": "component"
    },
    {
      "node": {
        "id": "04_knowledge_base/CPU",
        "label": "CPUs"
      },
      "role": "context_entity"
    }
  ],
  "qualifiers": {
    "condition_text": null,
    "numeric_mentions": [
      "8",
      "256"
    ],
    "temporal_mentions": []
  },
  "relation_type": "HAS_COMPONENT"
}

④ Canonical Entity Mapping

RoleSurface LabelCanonical Target
system_or_subjectcompute tray04_knowledge_base/Compute Tray
componentVera CPUs04_knowledge_base/NVIDIA Vera CPU
componentEthernetEthernet
context_entityCPUsCPU

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。