NIEK2-0158

① SA Source

Context Before

On the front panel there are 8 x OSFP cages for cross-rack C2C, while there will be 2 cages (likely QSFP-DD) that goes to the Spectrum-switches that is used to connect the LPUs and the GPUs for the disaggregated decode system. We will share more about this when we describe the network.

LPU Network

Evidence

The LPU network can be divided into the scale-up ‘C2C’ network and scale-out network which interacts with the Nvidia GPUs through Spectrum-X

Context After

Intra-Tray Topology

image

② Atomic Claim

LPU 網路可分為 scale-up 的 C2C 網路,以及透過 Spectrum-X 與 Nvidia GPUs 互動的 scale-out network

  • Epistemic Mode: ASSERTED
  • Mapping Status: PARTIAL

③ Semantic Frame

{
  "frame_type": "NARY_RELATION",
  "participants": [
    {
      "node": {
        "id": "04_knowledge_base/Groq LPU",
        "label": "LPU"
      },
      "role": "endpoint_or_system"
    },
    {
      "node": {
        "id": "04_knowledge_base/Chip-to-Chip Interconnect",
        "label": "C2C"
      },
      "role": "connected_entity"
    },
    {
      "node": {
        "id": "02_companies/NVDA",
        "label": "Nvidia"
      },
      "role": "connected_entity"
    },
    {
      "node": {
        "id": "04_knowledge_base/GPU",
        "label": "GPUs"
      },
      "role": "connected_entity"
    },
    {
      "node": {
        "id": "04_knowledge_base/Scale-out networking",
        "label": "scale-out network"
      },
      "role": "connected_entity"
    }
  ],
  "qualifiers": {
    "condition_text": null,
    "numeric_mentions": [],
    "temporal_mentions": []
  },
  "relation_type": "CONNECTS_TO"
}

④ Canonical Entity Mapping

RoleSurface LabelCanonical Target
endpoint_or_systemLPU04_knowledge_base/Groq LPU
connected_entityC2C04_knowledge_base/Chip-to-Chip Interconnect
connected_entityNvidiaNVDA
connected_entityGPUsGPU
connected_entityscale-out network04_knowledge_base/Scale-out networking

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。